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ORCIDBibTeX records: Abhradeep Thakurta
@article{DBLP:journals/corr/abs-2402-13531,
author = {Gavin Brown and
Krishnamurthy Dvijotham and
Georgina Evans and
Daogao Liu and
Adam Smith and
Abhradeep Thakurta},
title = {Private Gradient Descent for Linear Regression: Tighter Error Bounds
and Instance-Specific Uncertainty Estimation},
journal = {CoRR},
volume = {abs/2402.13531},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.13531},
doi = {10.48550/ARXIV.2402.13531},
eprinttype = {arXiv},
eprint = {2402.13531},
timestamp = {Thu, 21 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-13531.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jair/PonomarevaHKXDMVCT23,
author = {Natalia Ponomareva and
Hussein Hazimeh and
Alex Kurakin and
Zheng Xu and
Carson Denison and
H. Brendan McMahan and
Sergei Vassilvitskii and
Steve Chien and
Abhradeep Guha Thakurta},
title = {How to DP-fy {ML:} {A} Practical Guide to Machine Learning with Differential
Privacy},
journal = {J. Artif. Intell. Res.},
volume = {77},
pages = {1113--1201},
year = {2023},
url = {https://doi.org/10.1613/jair.1.14649},
doi = {10.1613/JAIR.1.14649},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jair/PonomarevaHKXDMVCT23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/MehtaKTKC23,
author = {Harsh Mehta and
Walid Krichene and
Abhradeep Guha Thakurta and
Alexey Kurakin and
Ashok Cutkosky},
title = {Differentially Private Image Classification from Features},
journal = {Trans. Mach. Learn. Res.},
volume = {2023},
year = {2023},
url = {https://openreview.net/forum?id=Cj6pLclmwT},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tmlr/MehtaKTKC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/MehtaTKC23,
author = {Harsh Mehta and
Abhradeep Guha Thakurta and
Alexey Kurakin and
Ashok Cutkosky},
title = {Towards Large Scale Transfer Learning for Differentially Private Image
Classification},
journal = {Trans. Mach. Learn. Res.},
volume = {2023},
year = {2023},
url = {https://openreview.net/forum?id=Uu8WwCFpQv},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tmlr/MehtaTKC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GaneshTU23,
author = {Arun Ganesh and
Abhradeep Thakurta and
Jalaj Upadhyay},
editor = {Gergely Neu and
Lorenzo Rosasco},
title = {Universality of Langevin Diffusion for Private Optimization, with
Applications to Sampling from Rashomon Sets},
booktitle = {The Thirty Sixth Annual Conference on Learning Theory, {COLT} 2023,
12-15 July 2023, Bangalore, India},
series = {Proceedings of Machine Learning Research},
volume = {195},
pages = {1730--1773},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v195/ganesh23a.html},
timestamp = {Wed, 06 Sep 2023 17:49:05 +0200},
biburl = {https://dblp.org/rec/conf/colt/GaneshTU23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AgarwalKST23,
author = {Naman Agarwal and
Satyen Kale and
Karan Singh and
Abhradeep Thakurta},
editor = {Gergely Neu and
Lorenzo Rosasco},
title = {Differentially Private and Lazy Online Convex Optimization},
booktitle = {The Thirty Sixth Annual Conference on Learning Theory, {COLT} 2023,
12-15 July 2023, Bangalore, India},
series = {Proceedings of Machine Learning Research},
volume = {195},
pages = {4599--4632},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v195/agarwal23d.html},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AgarwalKST23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/Jagielski0TILCW23,
author = {Matthew Jagielski and
Om Thakkar and
Florian Tram{\`{e}}r and
Daphne Ippolito and
Katherine Lee and
Nicholas Carlini and
Eric Wallace and
Shuang Song and
Abhradeep Guha Thakurta and
Nicolas Papernot and
Chiyuan Zhang},
title = {Measuring Forgetting of Memorized Training Examples},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/pdf?id=7bJizxLKrR},
timestamp = {Fri, 30 Jun 2023 14:38:38 +0200},
biburl = {https://dblp.org/rec/conf/iclr/Jagielski0TILCW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Choquette-ChooM23,
author = {Christopher A. Choquette{-}Choo and
Hugh Brendan McMahan and
J. Keith Rush and
Abhradeep Guha Thakurta},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {5924--5963},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/choquette-choo23a.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/icml/Choquette-ChooM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GaneshHNO00TW23,
author = {Arun Ganesh and
Mahdi Haghifam and
Milad Nasr and
Sewoong Oh and
Thomas Steinke and
Om Thakkar and
Abhradeep Guha Thakurta and
Lun Wang},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Why Is Public Pretraining Necessary for Private Model Training?},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {10611--10627},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/ganesh23a.html},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GaneshHNO00TW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Krichene00ST023,
author = {Walid Krichene and
Prateek Jain and
Shuang Song and
Mukund Sundararajan and
Abhradeep Guha Thakurta and
Li Zhang},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {Multi-Task Differential Privacy Under Distribution Skew},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {17784--17807},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/krichene23a.html},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Krichene00ST023.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/Choquette-ChooG23,
author = {Christopher A. Choquette{-}Choo and
Arun Ganesh and
Ryan McKenna and
H. Brendan McMahan and
John Rush and
Abhradeep Guha Thakurta and
Zheng Xu},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {(Amplified) Banded Matrix Factorization: {A} unified approach to private
training},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/ecc28b4ce9b39f5f23c3efb03e25b7bf-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/Choquette-ChooG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GaneshH0T23,
author = {Arun Ganesh and
Mahdi Haghifam and
Thomas Steinke and
Abhradeep Guha Thakurta},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Faster Differentially Private Convex Optimization via Second-Order
Methods},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/fb1d9c3fc2161e12aa71cdcab74b9d2c-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/GaneshH0T23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/LiuGOT23,
author = {Daogao Liu and
Arun Ganesh and
Sewoong Oh and
Abhradeep Guha Thakurta},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Private (Stochastic) Non-Convex Optimization Revisited: Second-Order
Stationary Points and Excess Risks},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/cede701f00079e43d053ac57b1e75c3e-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/LiuGOT23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/RabanserTTDP23,
author = {Stephan Rabanser and
Anvith Thudi and
Abhradeep Guha Thakurta and
Krishnamurthy Dvijotham and
Nicolas Papernot},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Training Private Models That Know What They Don't Know},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/a8526465a91166fbb90aaa8452b21eda-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/RabanserTTDP23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-07975,
author = {Walid Krichene and
Prateek Jain and
Shuang Song and
Mukund Sundararajan and
Abhradeep Thakurta and
Li Zhang},
title = {Multi-Task Differential Privacy Under Distribution Skew},
journal = {CoRR},
volume = {abs/2302.07975},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.07975},
doi = {10.48550/ARXIV.2302.07975},
eprinttype = {arXiv},
eprint = {2302.07975},
timestamp = {Tue, 11 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-07975.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-09483,
author = {Arun Ganesh and
Mahdi Haghifam and
Milad Nasr and
Sewoong Oh and
Thomas Steinke and
Om Thakkar and
Abhradeep Thakurta and
Lun Wang},
title = {Why Is Public Pretraining Necessary for Private Model Training?},
journal = {CoRR},
volume = {abs/2302.09483},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.09483},
doi = {10.48550/ARXIV.2302.09483},
eprinttype = {arXiv},
eprint = {2302.09483},
timestamp = {Thu, 23 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-09483.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-09699,
author = {Arun Ganesh and
Daogao Liu and
Sewoong Oh and
Abhradeep Thakurta},
title = {Private (Stochastic) Non-Convex Optimization Revisited: Second-Order
Stationary Points and Excess Risks},
journal = {CoRR},
volume = {abs/2302.09699},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.09699},
doi = {10.48550/ARXIV.2302.09699},
eprinttype = {arXiv},
eprint = {2302.09699},
timestamp = {Thu, 23 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-09699.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-00654,
author = {Natalia Ponomareva and
Hussein Hazimeh and
Alex Kurakin and
Zheng Xu and
Carson Denison and
H. Brendan McMahan and
Sergei Vassilvitskii and
Steve Chien and
Abhradeep Thakurta},
title = {How to DP-fy {ML:} {A} Practical Guide to Machine Learning with Differential
Privacy},
journal = {CoRR},
volume = {abs/2303.00654},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2303.00654},
doi = {10.48550/ARXIV.2303.00654},
eprinttype = {arXiv},
eprint = {2303.00654},
timestamp = {Tue, 02 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2303-00654.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-18086,
author = {Bing Zhang and
Vadym Doroshenko and
Peter Kairouz and
Thomas Steinke and
Abhradeep Thakurta and
Ziyin Ma and
Himani Apte and
Jodi Spacek},
title = {Differentially Private Stream Processing at Scale},
journal = {CoRR},
volume = {abs/2303.18086},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2303.18086},
doi = {10.48550/ARXIV.2303.18086},
eprinttype = {arXiv},
eprint = {2303.18086},
timestamp = {Mon, 17 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2303-18086.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2304-06929,
author = {Rachel Cummings and
Damien Desfontaines and
David Evans and
Roxana Geambasu and
Matthew Jagielski and
Yangsibo Huang and
Peter Kairouz and
Gautam Kamath and
Sewoong Oh and
Olga Ohrimenko and
Nicolas Papernot and
Ryan Rogers and
Milan Shen and
Shuang Song and
Weijie J. Su and
Andreas Terzis and
Abhradeep Thakurta and
Sergei Vassilvitskii and
Yu{-}Xiang Wang and
Li Xiong and
Sergey Yekhanin and
Da Yu and
Huanyu Zhang and
Wanrong Zhang},
title = {Challenges towards the Next Frontier in Privacy},
journal = {CoRR},
volume = {abs/2304.06929},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2304.06929},
doi = {10.48550/ARXIV.2304.06929},
eprinttype = {arXiv},
eprint = {2304.06929},
timestamp = {Tue, 02 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2304-06929.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-13209,
author = {Arun Ganesh and
Mahdi Haghifam and
Thomas Steinke and
Abhradeep Thakurta},
title = {Faster Differentially Private Convex Optimization via Second-Order
Methods},
journal = {CoRR},
volume = {abs/2305.13209},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.13209},
doi = {10.48550/ARXIV.2305.13209},
eprinttype = {arXiv},
eprint = {2305.13209},
timestamp = {Fri, 26 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-13209.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-18393,
author = {Stephan Rabanser and
Anvith Thudi and
Abhradeep Thakurta and
Krishnamurthy Dvijotham and
Nicolas Papernot},
title = {Training Private Models That Know What They Don't Know},
journal = {CoRR},
volume = {abs/2305.18393},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.18393},
doi = {10.48550/ARXIV.2305.18393},
eprinttype = {arXiv},
eprint = {2305.18393},
timestamp = {Wed, 07 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-18393.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-08153,
author = {Christopher A. Choquette{-}Choo and
Arun Ganesh and
Ryan McKenna and
H. Brendan McMahan and
Keith Rush and
Abhradeep Guha Thakurta and
Zheng Xu},
title = {(Amplified) Banded Matrix Factorization: {A} unified approach to private
training},
journal = {CoRR},
volume = {abs/2306.08153},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.08153},
doi = {10.48550/ARXIV.2306.08153},
eprinttype = {arXiv},
eprint = {2306.08153},
timestamp = {Sun, 18 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-08153.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-06771,
author = {Christopher A. Choquette{-}Choo and
Krishnamurthy Dvijotham and
Krishna Pillutla and
Arun Ganesh and
Thomas Steinke and
Abhradeep Thakurta},
title = {Correlated Noise Provably Beats Independent Noise for Differentially
Private Learning},
journal = {CoRR},
volume = {abs/2310.06771},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.06771},
doi = {10.48550/ARXIV.2310.06771},
eprinttype = {arXiv},
eprint = {2310.06771},
timestamp = {Tue, 24 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-06771.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-15454,
author = {Walid Krichene and
Nicolas Mayoraz and
Steffen Rendle and
Shuang Song and
Abhradeep Thakurta and
Li Zhang},
title = {Private Learning with Public Features},
journal = {CoRR},
volume = {abs/2310.15454},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.15454},
doi = {10.48550/ARXIV.2310.15454},
eprinttype = {arXiv},
eprint = {2310.15454},
timestamp = {Tue, 31 Oct 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-15454.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-15526,
author = {Christopher A. Choquette{-}Choo and
Arun Ganesh and
Thomas Steinke and
Abhradeep Thakurta},
title = {Privacy Amplification for Matrix Mechanisms},
journal = {CoRR},
volume = {abs/2310.15526},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.15526},
doi = {10.48550/ARXIV.2310.15526},
eprinttype = {arXiv},
eprint = {2310.15526},
timestamp = {Tue, 31 Oct 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-15526.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-11534,
author = {Naman Agarwal and
Satyen Kale and
Karan Singh and
Abhradeep Guha Thakurta},
title = {Improved Differentially Private and Lazy Online Convex Optimization},
journal = {CoRR},
volume = {abs/2312.11534},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.11534},
doi = {10.48550/ARXIV.2312.11534},
eprinttype = {arXiv},
eprint = {2312.11534},
timestamp = {Tue, 16 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-11534.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/VarshneyTJ22,
author = {Prateek Varshney and
Abhradeep Thakurta and
Prateek Jain},
editor = {Po{-}Ling Loh and
Maxim Raginsky},
title = {(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via
Adaptive Clipping},
booktitle = {Conference on Learning Theory, 2-5 July 2022, London, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {178},
pages = {1126--1166},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v178/varshney22a.html},
timestamp = {Tue, 12 Jul 2022 17:36:51 +0200},
biburl = {https://dblp.org/rec/conf/colt/VarshneyTJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MangoubiWKTV22,
author = {Oren Mangoubi and
Yikai Wu and
Satyen Kale and
Abhradeep Thakurta and
Nisheeth K. Vishnoi},
editor = {Po{-}Ling Loh and
Maxim Raginsky},
title = {Private Matrix Approximation and Geometry of Unitary Orbits},
booktitle = {Conference on Learning Theory, 2-5 July 2022, London, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {178},
pages = {3547--3588},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v178/mangoubi22a.html},
timestamp = {Tue, 12 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MangoubiWKTV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AmidGMR00S0T22,
author = {Ehsan Amid and
Arun Ganesh and
Rajiv Mathews and
Swaroop Ramaswamy and
Shuang Song and
Thomas Steinke and
Vinith M. Suriyakumar and
Om Thakkar and
Abhradeep Thakurta},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Public Data-Assisted Mirror Descent for Private Model Training},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {517--535},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/amid22a.html},
timestamp = {Tue, 12 Jul 2022 17:36:52 +0200},
biburl = {https://dblp.org/rec/conf/icml/AmidGMR00S0T22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/DenisovMRST22,
author = {Sergey Denisov and
H. Brendan McMahan and
John Rush and
Adam D. Smith and
Abhradeep Guha Thakurta},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {Improved Differential Privacy for {SGD} via Optimal Private Linear
Operators on Adaptive Streams},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/271ec4d1a9ff5e6b81a6e21d38b1ba96-Abstract-Conference.html},
timestamp = {Mon, 08 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/DenisovMRST22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/LiLHIKLT22,
author = {Xuechen Li and
Daogao Liu and
Tatsunori B. Hashimoto and
Huseyin A. Inan and
Janardhan Kulkarni and
Yin Tat Lee and
Abhradeep Guha Thakurta},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {When Does Differentially Private Learning Not Suffer in High Dimensions?},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/b75ce884441c983f7357a312ffa02a3c-Abstract-Conference.html},
timestamp = {Mon, 29 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/LiLHIKLT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-12328,
author = {Alexey Kurakin and
Steve Chien and
Shuang Song and
Roxana Geambasu and
Andreas Terzis and
Abhradeep Thakurta},
title = {Toward Training at ImageNet Scale with Differential Privacy},
journal = {CoRR},
volume = {abs/2201.12328},
year = {2022},
url = {https://arxiv.org/abs/2201.12328},
eprinttype = {arXiv},
eprint = {2201.12328},
timestamp = {Wed, 02 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-12328.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-08312,
author = {Brendan McMahan and
Keith Rush and
Abhradeep Guha Thakurta},
title = {Private Online Prefix Sums via Optimal Matrix Factorizations},
journal = {CoRR},
volume = {abs/2202.08312},
year = {2022},
url = {https://arxiv.org/abs/2202.08312},
eprinttype = {arXiv},
eprint = {2202.08312},
timestamp = {Tue, 01 Mar 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-08312.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2204-01585,
author = {Arun Ganesh and
Abhradeep Thakurta and
Jalaj Upadhyay},
title = {Langevin Diffusion: An Almost Universal Algorithm for Private Euclidean
(Convex) Optimization},
journal = {CoRR},
volume = {abs/2204.01585},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2204.01585},
doi = {10.48550/ARXIV.2204.01585},
eprinttype = {arXiv},
eprint = {2204.01585},
timestamp = {Wed, 06 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2204-01585.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-02973,
author = {Harsh Mehta and
Abhradeep Thakurta and
Alexey Kurakin and
Ashok Cutkosky},
title = {Large Scale Transfer Learning for Differentially Private Image Classification},
journal = {CoRR},
volume = {abs/2205.02973},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2205.02973},
doi = {10.48550/ARXIV.2205.02973},
eprinttype = {arXiv},
eprint = {2205.02973},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2205-02973.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-00099,
author = {Matthew Jagielski and
Om Thakkar and
Florian Tram{\`{e}}r and
Daphne Ippolito and
Katherine Lee and
Nicholas Carlini and
Eric Wallace and
Shuang Song and
Abhradeep Thakurta and
Nicolas Papernot and
Chiyuan Zhang},
title = {Measuring Forgetting of Memorized Training Examples},
journal = {CoRR},
volume = {abs/2207.00099},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.00099},
doi = {10.48550/ARXIV.2207.00099},
eprinttype = {arXiv},
eprint = {2207.00099},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-00099.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-00160,
author = {Xuechen Li and
Daogao Liu and
Tatsunori Hashimoto and
Huseyin A. Inan and
Janardhan Kulkarni and
Yin Tat Lee and
Abhradeep Guha Thakurta},
title = {When Does Differentially Private Learning Not Suffer in High Dimensions?},
journal = {CoRR},
volume = {abs/2207.00160},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.00160},
doi = {10.48550/ARXIV.2207.00160},
eprinttype = {arXiv},
eprint = {2207.00160},
timestamp = {Wed, 06 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-00160.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-02794,
author = {Oren Mangoubi and
Yikai Wu and
Satyen Kale and
Abhradeep Guha Thakurta and
Nisheeth K. Vishnoi},
title = {Private Matrix Approximation and Geometry of Unitary Orbits},
journal = {CoRR},
volume = {abs/2207.02794},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.02794},
doi = {10.48550/ARXIV.2207.02794},
eprinttype = {arXiv},
eprint = {2207.02794},
timestamp = {Wed, 13 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-02794.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-04686,
author = {Prateek Varshney and
Abhradeep Thakurta and
Prateek Jain},
title = {(Nearly) Optimal Private Linear Regression via Adaptive Clipping},
journal = {CoRR},
volume = {abs/2207.04686},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.04686},
doi = {10.48550/ARXIV.2207.04686},
eprinttype = {arXiv},
eprint = {2207.04686},
timestamp = {Wed, 13 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-04686.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-01864,
author = {Virat Shejwalkar and
Arun Ganesh and
Rajiv Mathews and
Om Thakkar and
Abhradeep Thakurta},
title = {Recycling Scraps: Improving Private Learning by Leveraging Intermediate
Checkpoints},
journal = {CoRR},
volume = {abs/2210.01864},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.01864},
doi = {10.48550/ARXIV.2210.01864},
eprinttype = {arXiv},
eprint = {2210.01864},
timestamp = {Fri, 07 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-01864.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-02156,
author = {Yannis Cattan and
Christopher A. Choquette{-}Choo and
Nicolas Papernot and
Abhradeep Thakurta},
title = {Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter
Search},
journal = {CoRR},
volume = {abs/2210.02156},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.02156},
doi = {10.48550/ARXIV.2210.02156},
eprinttype = {arXiv},
eprint = {2210.02156},
timestamp = {Fri, 07 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-02156.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-03505,
author = {Soumyabrata Pal and
Prateek Varshney and
Prateek Jain and
Abhradeep Guha Thakurta and
Gagan Madan and
Gaurav Aggarwal and
Pradeep Shenoy and
Gaurav Srivastava},
title = {Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition},
journal = {CoRR},
volume = {abs/2210.03505},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.03505},
doi = {10.48550/ARXIV.2210.03505},
eprinttype = {arXiv},
eprint = {2210.03505},
timestamp = {Thu, 13 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-03505.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-17520,
author = {Adam D. Smith and
Abhradeep Thakurta},
title = {Fully Adaptive Composition for Gaussian Differential Privacy},
journal = {CoRR},
volume = {abs/2210.17520},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2210.17520},
doi = {10.48550/ARXIV.2210.17520},
eprinttype = {arXiv},
eprint = {2210.17520},
timestamp = {Thu, 03 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2210-17520.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-06530,
author = {Christopher A. Choquette{-}Choo and
H. Brendan McMahan and
Keith Rush and
Abhradeep Thakurta},
title = {Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning},
journal = {CoRR},
volume = {abs/2211.06530},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.06530},
doi = {10.48550/ARXIV.2211.06530},
eprinttype = {arXiv},
eprint = {2211.06530},
timestamp = {Tue, 15 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-06530.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-13403,
author = {Harsh Mehta and
Walid Krichene and
Abhradeep Thakurta and
Alexey Kurakin and
Ashok Cutkosky},
title = {Differentially Private Image Classification from Features},
journal = {CoRR},
volume = {abs/2211.13403},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.13403},
doi = {10.48550/ARXIV.2211.13403},
eprinttype = {arXiv},
eprint = {2211.13403},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-13403.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/PapernotT0CE21,
author = {Nicolas Papernot and
Abhradeep Thakurta and
Shuang Song and
Steve Chien and
{\'{U}}lfar Erlingsson},
title = {Tempered Sigmoid Activations for Deep Learning with Differential Privacy},
booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI}
2021, Thirty-Third Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9,
2021},
pages = {9312--9321},
publisher = {{AAAI} Press},
year = {2021},
url = {https://doi.org/10.1609/aaai.v35i10.17123},
doi = {10.1609/AAAI.V35I10.17123},
timestamp = {Mon, 04 Sep 2023 12:29:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/PapernotT0CE21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/000100T21,
author = {Shuang Song and
Thomas Steinke and
Om Thakkar and
Abhradeep Thakurta},
editor = {Arindam Banerjee and
Kenji Fukumizu},
title = {Evading the Curse of Dimensionality in Unconstrained Private GLMs},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2021, April 13-15, 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {2638--2646},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v130/song21a.html},
timestamp = {Wed, 14 Apr 2021 16:51:37 +0200},
biburl = {https://dblp.org/rec/conf/aistats/000100T21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KairouzDRT21,
author = {Peter Kairouz and
M{\'{o}}nica Ribero Diaz and
Keith Rush and
Abhradeep Thakurta},
editor = {Mikhail Belkin and
Samory Kpotufe},
title = {(Nearly) Dimension Independent Private {ERM} with AdaGrad Ratesvia
Publicly Estimated Subspaces},
booktitle = {Conference on Learning Theory, {COLT} 2021, 15-19 August 2021, Boulder,
Colorado, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {134},
pages = {2717--2746},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v134/kairouz21a.html},
timestamp = {Wed, 25 Aug 2021 17:11:16 +0200},
biburl = {https://dblp.org/rec/conf/colt/KairouzDRT21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Chien0KR0T021,
author = {Steve Chien and
Prateek Jain and
Walid Krichene and
Steffen Rendle and
Shuang Song and
Abhradeep Thakurta and
Li Zhang},
editor = {Marina Meila and
Tong Zhang},
title = {Private Alternating Least Squares: Practical Private Matrix Completion
with Tighter Rates},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {1877--1887},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/chien21a.html},
timestamp = {Tue, 11 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Chien0KR0T021.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KairouzM00TX21,
author = {Peter Kairouz and
Brendan McMahan and
Shuang Song and
Om Thakkar and
Abhradeep Thakurta and
Zheng Xu},
editor = {Marina Meila and
Tong Zhang},
title = {Practical and Private (Deep) Learning Without Sampling or Shuffling},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {5213--5225},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/kairouz21b.html},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/KairouzM00TX21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/DengGJMMT21,
author = {Samuel Deng and
Sanjam Garg and
Somesh Jha and
Saeed Mahloujifar and
Mohammad Mahmoody and
Abhradeep Guha Thakurta},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {A Separation Result Between Data-oblivious and Data-aware Poisoning
Attacks},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {10862--10875},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/5a499f6e26313e19bd4049009bbed5bd-Abstract.html},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/DengGJMMT21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/JainRSST21,
author = {Prateek Jain and
John Rush and
Adam D. Smith and
Shuang Song and
Abhradeep Guha Thakurta},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Differentially Private Model Personalization},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {29723--29735},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/f8580959e35cb0934479bb007fb241c2-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/JainRSST21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sp/CarliniDGJMMTT21,
author = {Nicholas Carlini and
Samuel Deng and
Sanjam Garg and
Somesh Jha and
Saeed Mahloujifar and
Mohammad Mahmoody and
Abhradeep Thakurta and
Florian Tram{\`{e}}r},
title = {Is Private Learning Possible with Instance Encoding?},
booktitle = {42nd {IEEE} Symposium on Security and Privacy, {SP} 2021, San Francisco,
CA, USA, 24-27 May 2021},
pages = {410--427},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/SP40001.2021.00099},
doi = {10.1109/SP40001.2021.00099},
timestamp = {Thu, 21 Sep 2023 15:57:26 +0200},
biburl = {https://dblp.org/rec/conf/sp/CarliniDGJMMTT21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sp/NasrSTPC21,
author = {Milad Nasr and
Shuang Song and
Abhradeep Thakurta and
Nicolas Papernot and
Nicholas Carlini},
title = {Adversary Instantiation: Lower Bounds for Differentially Private Machine
Learning},
booktitle = {42nd {IEEE} Symposium on Security and Privacy, {SP} 2021, San Francisco,
CA, USA, 24-27 May 2021},
pages = {866--882},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/SP40001.2021.00069},
doi = {10.1109/SP40001.2021.00069},
timestamp = {Thu, 21 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/sp/NasrSTPC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2101-04535,
author = {Milad Nasr and
Shuang Song and
Abhradeep Thakurta and
Nicolas Papernot and
Nicholas Carlini},
title = {Adversary Instantiation: Lower Bounds for Differentially Private Machine
Learning},
journal = {CoRR},
volume = {abs/2101.04535},
year = {2021},
url = {https://arxiv.org/abs/2101.04535},
eprinttype = {arXiv},
eprint = {2101.04535},
timestamp = {Fri, 22 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2101-04535.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-00039,
author = {Peter Kairouz and
Brendan McMahan and
Shuang Song and
Om Thakkar and
Abhradeep Thakurta and
Zheng Xu},
title = {Practical and Private (Deep) Learning without Sampling or Shuffling},
journal = {CoRR},
volume = {abs/2103.00039},
year = {2021},
url = {https://arxiv.org/abs/2103.00039},
eprinttype = {arXiv},
eprint = {2103.00039},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-00039.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-09802,
author = {Steve Chien and
Prateek Jain and
Walid Krichene and
Steffen Rendle and
Shuang Song and
Abhradeep Thakurta and
Li Zhang},
title = {Private Alternating Least Squares: Practical Private Matrix Completion
with Tighter Rates},
journal = {CoRR},
volume = {abs/2107.09802},
year = {2021},
url = {https://arxiv.org/abs/2107.09802},
eprinttype = {arXiv},
eprint = {2107.09802},
timestamp = {Tue, 11 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-09802.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2111-15521,
author = {Ameya Daigavane and
Gagan Madan and
Aditya Sinha and
Abhradeep Guha Thakurta and
Gaurav Aggarwal and
Prateek Jain},
title = {Node-Level Differentially Private Graph Neural Networks},
journal = {CoRR},
volume = {abs/2111.15521},
year = {2021},
url = {https://arxiv.org/abs/2111.15521},
eprinttype = {arXiv},
eprint = {2111.15521},
timestamp = {Thu, 02 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2111-15521.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2112-00193,
author = {Ehsan Amid and
Arun Ganesh and
Rajiv Mathews and
Swaroop Ramaswamy and
Shuang Song and
Thomas Steinke and
Vinith M. Suriyakumar and
Om Thakkar and
Abhradeep Thakurta},
title = {Public Data-Assisted Mirror Descent for Private Model Training},
journal = {CoRR},
volume = {abs/2112.00193},
year = {2021},
url = {https://arxiv.org/abs/2112.00193},
eprinttype = {arXiv},
eprint = {2112.00193},
timestamp = {Tue, 07 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2112-00193.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BassilyNST20,
author = {Raef Bassily and
Kobbi Nissim and
Uri Stemmer and
Abhradeep Thakurta},
title = {Practical Locally Private Heavy Hitters},
journal = {J. Mach. Learn. Res.},
volume = {21},
pages = {16:1--16:42},
year = {2020},
url = {http://jmlr.org/papers/v21/18-786.html},
timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BassilyNST20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BalleKMTT20,
author = {Borja Balle and
Peter Kairouz and
Brendan McMahan and
Om Dipakbhai Thakkar and
Abhradeep Thakurta},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Privacy Amplification via Random Check-Ins},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/313f422ac583444ba6045cd122653b0e-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/BalleKMTT20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/Smith0T20,
author = {Adam D. Smith and
Shuang Song and
Abhradeep Thakurta},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {The Flajolet-Martin Sketch Itself Preserves Differential Privacy:
Private Counting with Minimal Space},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/e3019767b1b23f82883c9850356b71d6-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/Smith0T20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2001-03618,
author = {{\'{U}}lfar Erlingsson and
Vitaly Feldman and
Ilya Mironov and
Ananth Raghunathan and
Shuang Song and
Kunal Talwar and
Abhradeep Thakurta},
title = {Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical
Evaluation},
journal = {CoRR},
volume = {abs/2001.03618},
year = {2020},
url = {https://arxiv.org/abs/2001.03618},
eprinttype = {arXiv},
eprint = {2001.03618},
timestamp = {Fri, 17 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2001-03618.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-04049,
author = {Daniel Kifer and
Solomon Messing and
Aaron Roth and
Abhradeep Thakurta and
Danfeng Zhang},
title = {Guidelines for Implementing and Auditing Differentially Private Systems},
journal = {CoRR},
volume = {abs/2002.04049},
year = {2020},
url = {https://arxiv.org/abs/2002.04049},
eprinttype = {arXiv},
eprint = {2002.04049},
timestamp = {Fri, 14 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-04049.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-12020,
author = {Sanjam Garg and
Somesh Jha and
Saeed Mahloujifar and
Mohammad Mahmoody and
Abhradeep Thakurta},
title = {Obliviousness Makes Poisoning Adversaries Weaker},
journal = {CoRR},
volume = {abs/2003.12020},
year = {2020},
url = {https://arxiv.org/abs/2003.12020},
eprinttype = {arXiv},
eprint = {2003.12020},
timestamp = {Wed, 01 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2003-12020.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-06783,
author = {Shuang Song and
Om Thakkar and
Abhradeep Thakurta},
title = {Characterizing Private Clipped Gradient Descent on Convex Generalized
Linear Problems},
journal = {CoRR},
volume = {abs/2006.06783},
year = {2020},
url = {https://arxiv.org/abs/2006.06783},
eprinttype = {arXiv},
eprint = {2006.06783},
timestamp = {Wed, 17 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-06783.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-06605,
author = {Borja Balle and
Peter Kairouz and
H. Brendan McMahan and
Om Thakkar and
Abhradeep Thakurta},
title = {Privacy Amplification via Random Check-Ins},
journal = {CoRR},
volume = {abs/2007.06605},
year = {2020},
url = {https://arxiv.org/abs/2007.06605},
eprinttype = {arXiv},
eprint = {2007.06605},
timestamp = {Tue, 21 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-06605.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-14191,
author = {Nicolas Papernot and
Abhradeep Thakurta and
Shuang Song and
Steve Chien and
{\'{U}}lfar Erlingsson},
title = {Tempered Sigmoid Activations for Deep Learning with Differential Privacy},
journal = {CoRR},
volume = {abs/2007.14191},
year = {2020},
url = {https://arxiv.org/abs/2007.14191},
eprinttype = {arXiv},
eprint = {2007.14191},
timestamp = {Tue, 04 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-14191.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2008-06570,
author = {Peter Kairouz and
M{\'{o}}nica Ribero and
Keith Rush and
Abhradeep Thakurta},
title = {Dimension Independence in Unconstrained Private {ERM} via Adaptive
Preconditioning},
journal = {CoRR},
volume = {abs/2008.06570},
year = {2020},
url = {https://arxiv.org/abs/2008.06570},
eprinttype = {arXiv},
eprint = {2008.06570},
timestamp = {Fri, 21 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2008-06570.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-05315,
author = {Nicholas Carlini and
Samuel Deng and
Sanjam Garg and
Somesh Jha and
Saeed Mahloujifar and
Mohammad Mahmoody and
Shuang Song and
Abhradeep Thakurta and
Florian Tram{\`{e}}r},
title = {An Attack on InstaHide: Is Private Learning Possible with Instance
Encoding?},
journal = {CoRR},
volume = {abs/2011.05315},
year = {2020},
url = {https://arxiv.org/abs/2011.05315},
eprinttype = {arXiv},
eprint = {2011.05315},
timestamp = {Thu, 12 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-05315.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BassilyFTT19,
author = {Raef Bassily and
Vitaly Feldman and
Kunal Talwar and
Abhradeep Guha Thakurta},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Private Stochastic Convex Optimization with Optimal Rates},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {11279--11288},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/3bd8fdb090f1f5eb66a00c84dbc5ad51-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/BassilyFTT19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/ErlingssonFMRTT19,
author = {{\'{U}}lfar Erlingsson and
Vitaly Feldman and
Ilya Mironov and
Ananth Raghunathan and
Kunal Talwar and
Abhradeep Thakurta},
editor = {Timothy M. Chan},
title = {Amplification by Shuffling: From Local to Central Differential Privacy
via Anonymity},
booktitle = {Proceedings of the Thirtieth Annual {ACM-SIAM} Symposium on Discrete
Algorithms, {SODA} 2019, San Diego, California, USA, January 6-9,
2019},
pages = {2468--2479},
publisher = {{SIAM}},
year = {2019},
url = {https://doi.org/10.1137/1.9781611975482.151},
doi = {10.1137/1.9781611975482.151},
timestamp = {Thu, 15 Jul 2021 13:49:01 +0200},
biburl = {https://dblp.org/rec/conf/soda/ErlingssonFMRTT19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sp/IyengarNSTTW19,
author = {Roger Iyengar and
Joseph P. Near and
Dawn Song and
Om Thakkar and
Abhradeep Thakurta and
Lun Wang},
title = {Towards Practical Differentially Private Convex Optimization},
booktitle = {2019 {IEEE} Symposium on Security and Privacy, {SP} 2019, San Francisco,
CA, USA, May 19-23, 2019},
pages = {299--316},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/SP.2019.00001},
doi = {10.1109/SP.2019.00001},
timestamp = {Thu, 31 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/sp/IyengarNSTTW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wsdm/KenthapadiMT19,
author = {Krishnaram Kenthapadi and
Ilya Mironov and
Abhradeep Guha Thakurta},
editor = {J. Shane Culpepper and
Alistair Moffat and
Paul N. Bennett and
Kristina Lerman},
title = {Privacy-preserving Data Mining in Industry},
booktitle = {Proceedings of the Twelfth {ACM} International Conference on Web Search
and Data Mining, {WSDM} 2019, Melbourne, VIC, Australia, February
11-15, 2019},
pages = {840--841},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3289600.3291384},
doi = {10.1145/3289600.3291384},
timestamp = {Sat, 30 May 2020 20:02:29 +0200},
biburl = {https://dblp.org/rec/conf/wsdm/KenthapadiMT19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/www/KenthapadiMT19,
author = {Krishnaram Kenthapadi and
Ilya Mironov and
Abhradeep Thakurta},
editor = {Sihem Amer{-}Yahia and
Mohammad Mahdian and
Ashish Goel and
Geert{-}Jan Houben and
Kristina Lerman and
Julian J. McAuley and
Ricardo Baeza{-}Yates and
Leila Zia},
title = {Privacy-preserving Data Mining in Industry},
booktitle = {Companion of The 2019 World Wide Web Conference, {WWW} 2019, San Francisco,
CA, USA, May 13-17, 2019},
pages = {1308--1310},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3308560.3320085},
doi = {10.1145/3308560.3320085},
timestamp = {Sun, 22 Sep 2019 18:15:38 +0200},
biburl = {https://dblp.org/rec/conf/www/KenthapadiMT19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1908-09970,
author = {Raef Bassily and
Vitaly Feldman and
Kunal Talwar and
Abhradeep Thakurta},
title = {Private Stochastic Convex Optimization with Optimal Rates},
journal = {CoRR},
volume = {abs/1908.09970},
year = {2019},
url = {http://arxiv.org/abs/1908.09970},
eprinttype = {arXiv},
eprint = {1908.09970},
timestamp = {Thu, 29 Aug 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1908-09970.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/siamcomp/DixitRTV18,
author = {Kashyap Dixit and
Sofya Raskhodnikova and
Abhradeep Thakurta and
Nithin Varma},
title = {Erasure-Resilient Property Testing},
journal = {{SIAM} J. Comput.},
volume = {47},
number = {2},
pages = {295--329},
year = {2018},
url = {https://doi.org/10.1137/16M1075661},
doi = {10.1137/16M1075661},
timestamp = {Mon, 03 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/siamcomp/DixitRTV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/focs/FeldmanMTT18,
author = {Vitaly Feldman and
Ilya Mironov and
Kunal Talwar and
Abhradeep Thakurta},
editor = {Mikkel Thorup},
title = {Privacy Amplification by Iteration},
booktitle = {59th {IEEE} Annual Symposium on Foundations of Computer Science, {FOCS}
2018, Paris, France, October 7-9, 2018},
pages = {521--532},
publisher = {{IEEE} Computer Society},
year = {2018},
url = {https://doi.org/10.1109/FOCS.2018.00056},
doi = {10.1109/FOCS.2018.00056},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/focs/FeldmanMTT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002TT18,
author = {Prateek Jain and
Om Dipakbhai Thakkar and
Abhradeep Thakurta},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentially Private Matrix Completion Revisited},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2220--2229},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jain18b.html},
timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/0002TT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BassilyTT18,
author = {Raef Bassily and
Abhradeep Guha Thakurta and
Om Dipakbhai Thakkar},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {Model-Agnostic Private Learning},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {7102--7112},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/aa97d584861474f4097cf13ccb5325da-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/BassilyTT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-05101,
author = {Raef Bassily and
Om Thakkar and
Abhradeep Thakurta},
title = {Model-Agnostic Private Learning via Stability},
journal = {CoRR},
volume = {abs/1803.05101},
year = {2018},
url = {http://arxiv.org/abs/1803.05101},
eprinttype = {arXiv},
eprint = {1803.05101},
timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1803-05101.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1808-06651,
author = {Vitaly Feldman and
Ilya Mironov and
Kunal Talwar and
Abhradeep Thakurta},
title = {Privacy Amplification by Iteration},
journal = {CoRR},
volume = {abs/1808.06651},
year = {2018},
url = {http://arxiv.org/abs/1808.06651},
eprinttype = {arXiv},
eprint = {1808.06651},
timestamp = {Sun, 02 Sep 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1808-06651.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1811-12469,
author = {{\'{U}}lfar Erlingsson and
Vitaly Feldman and
Ilya Mironov and
Ananth Raghunathan and
Kunal Talwar and
Abhradeep Thakurta},
title = {Amplification by Shuffling: From Local to Central Differential Privacy
via Anonymity},
journal = {CoRR},
volume = {abs/1811.12469},
year = {2018},
url = {http://arxiv.org/abs/1811.12469},
eprinttype = {arXiv},
eprint = {1811.12469},
timestamp = {Mon, 03 Dec 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1811-12469.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BassilyNST17,
author = {Raef Bassily and
Kobbi Nissim and
Uri Stemmer and
Abhradeep Guha Thakurta},
editor = {Isabelle Guyon and
Ulrike von Luxburg and
Samy Bengio and
Hanna M. Wallach and
Rob Fergus and
S. V. N. Vishwanathan and
Roman Garnett},
title = {Practical Locally Private Heavy Hitters},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
on Neural Information Processing Systems 2017, December 4-9, 2017,
Long Beach, CA, {USA}},
pages = {2288--2296},
year = {2017},
url = {https://proceedings.neurips.cc/paper/2017/hash/3d779cae2d46cf6a8a99a35ba4167977-Abstract.html},
timestamp = {Thu, 21 Jan 2021 13:58:27 +0100},
biburl = {https://dblp.org/rec/conf/nips/BassilyNST17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sp/SmithTU17,
author = {Adam D. Smith and
Abhradeep Thakurta and
Jalaj Upadhyay},
title = {Is Interaction Necessary for Distributed Private Learning?},
booktitle = {2017 {IEEE} Symposium on Security and Privacy, {SP} 2017, San Jose,
CA, USA, May 22-26, 2017},
pages = {58--77},
publisher = {{IEEE} Computer Society},
year = {2017},
url = {https://doi.org/10.1109/SP.2017.35},
doi = {10.1109/SP.2017.35},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/sp/SmithTU17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/BassilyNST17,
author = {Raef Bassily and
Kobbi Nissim and
Uri Stemmer and
Abhradeep Thakurta},
title = {Practical Locally Private Heavy Hitters},
journal = {CoRR},
volume = {abs/1707.04982},
year = {2017},
url = {http://arxiv.org/abs/1707.04982},
eprinttype = {arXiv},
eprint = {1707.04982},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/BassilyNST17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1712-09765,
author = {Prateek Jain and
Om Thakkar and
Abhradeep Thakurta},
title = {Differentially Private Matrix Completion, Revisited},
journal = {CoRR},
volume = {abs/1712.09765},
year = {2017},
url = {http://arxiv.org/abs/1712.09765},
eprinttype = {arXiv},
eprint = {1712.09765},
timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1712-09765.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icalp/DixitRTV16,
author = {Kashyap Dixit and
Sofya Raskhodnikova and
Abhradeep Thakurta and
Nithin Varma},
editor = {Ioannis Chatzigiannakis and
Michael Mitzenmacher and
Yuval Rabani and
Davide Sangiorgi},
title = {Erasure-Resilient Property Testing},
booktitle = {43rd International Colloquium on Automata, Languages, and Programming,
{ICALP} 2016, July 11-15, 2016, Rome, Italy},
series = {LIPIcs},
volume = {55},
pages = {91:1--91:15},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum f{\"{u}}r Informatik},
year = {2016},
url = {https://doi.org/10.4230/LIPIcs.ICALP.2016.91},
doi = {10.4230/LIPICS.ICALP.2016.91},
timestamp = {Mon, 03 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icalp/DixitRTV16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@incollection{DBLP:reference/algo/Thakurta16,
author = {Abhradeep Thakurta},
title = {Beyond Worst Case Sensitivity in Private Data Analysis},
booktitle = {Encyclopedia of Algorithms},
pages = {192--199},
year = {2016},
url = {https://doi.org/10.1007/978-1-4939-2864-4\_547},
doi = {10.1007/978-1-4939-2864-4\_547},
timestamp = {Wed, 12 Jul 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/reference/algo/Thakurta16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/DixitRTV16,
author = {Kashyap Dixit and
Sofya Raskhodnikova and
Abhradeep Thakurta and
Nithin Varma},
title = {Erasure-Resilient Property Testing},
journal = {CoRR},
volume = {abs/1607.05786},
year = {2016},
url = {http://arxiv.org/abs/1607.05786},
eprinttype = {arXiv},
eprint = {1607.05786},
timestamp = {Sun, 05 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/DixitRTV16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/TalwarTZ15,
author = {Kunal Talwar and
Abhradeep Thakurta and
Li Zhang},
editor = {Corinna Cortes and
Neil D. Lawrence and
Daniel D. Lee and
Masashi Sugiyama and
Roman Garnett},
title = {Nearly Optimal Private {LASSO}},
booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference
on Neural Information Processing Systems 2015, December 7-12, 2015,
Montreal, Quebec, Canada},
pages = {3025--3033},
year = {2015},
url = {https://proceedings.neurips.cc/paper/2015/hash/52d080a3e172c33fd6886a37e7288491-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/TalwarTZ15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MishraT15,
author = {Nikita Mishra and
Abhradeep Thakurta},
editor = {Marina Meila and
Tom Heskes},
title = {(Nearly) Optimal Differentially Private Stochastic Multi-Arm Bandits},
booktitle = {Proceedings of the Thirty-First Conference on Uncertainty in Artificial
Intelligence, {UAI} 2015, July 12-16, 2015, Amsterdam, The Netherlands},
pages = {592--601},
publisher = {{AUAI} Press},
year = {2015},
url = {http://auai.org/uai2015/proceedings/papers/58.pdf},
timestamp = {Thu, 12 Mar 2020 11:31:09 +0100},
biburl = {https://dblp.org/rec/conf/uai/MishraT15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/0002KTW15,
author = {Prateek Jain and
Vivek Kulkarni and
Abhradeep Thakurta and
Oliver Williams},
title = {To Drop or Not to Drop: Robustness, Consistency and Differential Privacy
Properties of Dropout},
journal = {CoRR},
volume = {abs/1503.02031},
year = {2015},
url = {http://arxiv.org/abs/1503.02031},
eprinttype = {arXiv},
eprint = {1503.02031},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/0002KTW15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/focs/BassilyST14,
author = {Raef Bassily and
Adam D. Smith and
Abhradeep Thakurta},
title = {Private Empirical Risk Minimization: Efficient Algorithms and Tight
Error Bounds},
booktitle = {55th {IEEE} Annual Symposium on Foundations of Computer Science, {FOCS}
2014, Philadelphia, PA, USA, October 18-21, 2014},
pages = {464--473},
publisher = {{IEEE} Computer Society},
year = {2014},
url = {https://doi.org/10.1109/FOCS.2014.56},
doi = {10.1109/FOCS.2014.56},
timestamp = {Thu, 23 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/focs/BassilyST14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002T14,
author = {Prateek Jain and
Abhradeep Guha Thakurta},
title = {(Near) Dimension Independent Risk Bounds for Differentially Private
Learning},
booktitle = {Proceedings of the 31th International Conference on Machine Learning,
{ICML} 2014, Beijing, China, 21-26 June 2014},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {32},
pages = {476--484},
publisher = {JMLR.org},
year = {2014},
url = {http://proceedings.mlr.press/v32/jain14.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/0002T14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/stoc/DworkTT014,
author = {Cynthia Dwork and
Kunal Talwar and
Abhradeep Thakurta and
Li Zhang},
editor = {David B. Shmoys},
title = {Analyze gauss: optimal bounds for privacy-preserving principal component
analysis},
booktitle = {Symposium on Theory of Computing, {STOC} 2014, New York, NY, USA,
May 31 - June 03, 2014},
pages = {11--20},
publisher = {{ACM}},
year = {2014},
url = {https://doi.org/10.1145/2591796.2591883},
doi = {10.1145/2591796.2591883},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/stoc/DworkTT014.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/BassilyST14,
author = {Raef Bassily and
Adam D. Smith and
Abhradeep Thakurta},
title = {Private Empirical Risk Minimization, Revisited},
journal = {CoRR},
volume = {abs/1405.7085},
year = {2014},
url = {http://arxiv.org/abs/1405.7085},
eprinttype = {arXiv},
eprint = {1405.7085},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/BassilyST14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/TalwarT014,
author = {Kunal Talwar and
Abhradeep Thakurta and
Li Zhang},
title = {Private Empirical Risk Minimization Beyond the Worst Case: The Effect
of the Constraint Set Geometry},
journal = {CoRR},
volume = {abs/1411.5417},
year = {2014},
url = {http://arxiv.org/abs/1411.5417},
eprinttype = {arXiv},
eprint = {1411.5417},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/TalwarT014.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ThakurtaS13,
author = {Abhradeep Thakurta and
Adam D. Smith},
editor = {Shai Shalev{-}Shwartz and
Ingo Steinwart},
title = {Differentially Private Feature Selection via Stability Arguments,
and the Robustness of the Lasso},
booktitle = {{COLT} 2013 - The 26th Annual Conference on Learning Theory, June
12-14, 2013, Princeton University, NJ, {USA}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {30},
pages = {819--850},
publisher = {JMLR.org},
year = {2013},
url = {http://proceedings.mlr.press/v30/Guha13.html},
timestamp = {Wed, 29 May 2019 08:41:46 +0200},
biburl = {https://dblp.org/rec/conf/colt/ThakurtaS13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002T13,
author = {Prateek Jain and
Abhradeep Thakurta},
title = {Differentially Private Learning with Kernels},
booktitle = {Proceedings of the 30th International Conference on Machine Learning,
{ICML} 2013, Atlanta, GA, USA, 16-21 June 2013},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {28},
pages = {118--126},
publisher = {JMLR.org},
year = {2013},
url = {http://proceedings.mlr.press/v28/jain13.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/0002T13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ThakurtaS13,
author = {Abhradeep Guha Thakurta and
Adam D. Smith},
editor = {Christopher J. C. Burges and
L{\'{e}}on Bottou and
Zoubin Ghahramani and
Kilian Q. Weinberger},
title = {(Nearly) Optimal Algorithms for Private Online Learning in Full-information
and Bandit Settings},
booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual
Conference on Neural Information Processing Systems 2013. Proceedings
of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States},
pages = {2733--2741},
year = {2013},
url = {https://proceedings.neurips.cc/paper/2013/hash/c850371fda6892fbfd1c5a5b457e5777-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/ThakurtaS13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/tcc/DixitJRT13,
author = {Kashyap Dixit and
Madhav Jha and
Sofya Raskhodnikova and
Abhradeep Thakurta},
editor = {Amit Sahai},
title = {Testing the Lipschitz Property over Product Distributions with Applications
to Data Privacy},
booktitle = {Theory of Cryptography - 10th Theory of Cryptography Conference, {TCC}
2013, Tokyo, Japan, March 3-6, 2013. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {7785},
pages = {418--436},
publisher = {Springer},
year = {2013},
url = {https://doi.org/10.1007/978-3-642-36594-2\_24},
doi = {10.1007/978-3-642-36594-2\_24},
timestamp = {Tue, 14 May 2019 10:00:47 +0200},
biburl = {https://dblp.org/rec/conf/tcc/DixitJRT13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/approx/JainT12,
author = {Prateek Jain and
Abhradeep Thakurta},
editor = {Anupam Gupta and
Klaus Jansen and
Jos{\'{e}} D. P. Rolim and
Rocco A. Servedio},
title = {Mirror Descent Based Database Privacy},
booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms
and Techniques - 15th International Workshop, {APPROX} 2012, and 16th
International Workshop, {RANDOM} 2012, Cambridge, MA, USA, August
15-17, 2012. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {7408},
pages = {579--590},
publisher = {Springer},
year = {2012},
url = {https://doi.org/10.1007/978-3-642-32512-0\_49},
doi = {10.1007/978-3-642-32512-0\_49},
timestamp = {Tue, 21 Sep 2021 09:36:24 +0200},
biburl = {https://dblp.org/rec/conf/approx/JainT12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigmod/MohanTSSC12,
author = {Prashanth Mohan and
Abhradeep Thakurta and
Elaine Shi and
Dawn Song and
David E. Culler},
editor = {K. Sel{\c{c}}uk Candan and
Yi Chen and
Richard T. Snodgrass and
Luis Gravano and
Ariel Fuxman},
title = {{GUPT:} privacy preserving data analysis made easy},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management
of Data, {SIGMOD} 2012, Scottsdale, AZ, USA, May 20-24, 2012},
pages = {349--360},
publisher = {{ACM}},
year = {2012},
url = {https://doi.org/10.1145/2213836.2213876},
doi = {10.1145/2213836.2213876},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/sigmod/MohanTSSC12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:journals/jmlr/JainKT12,
author = {Prateek Jain and
Pravesh Kothari and
Abhradeep Thakurta},
editor = {Shie Mannor and
Nathan Srebro and
Robert C. Williamson},
title = {Differentially Private Online Learning},
booktitle = {{COLT} 2012 - The 25th Annual Conference on Learning Theory, June
25-27, 2012, Edinburgh, Scotland},
series = {{JMLR} Proceedings},
volume = {23},
pages = {24.1--24.34},
publisher = {JMLR.org},
year = {2012},
url = {http://proceedings.mlr.press/v23/jain12/jain12.pdf},
timestamp = {Wed, 29 May 2019 08:41:46 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/JainKT12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:journals/jmlr/KiferST12,
author = {Daniel Kifer and
Adam D. Smith and
Abhradeep Thakurta},
editor = {Shie Mannor and
Nathan Srebro and
Robert C. Williamson},
title = {Private Convex Optimization for Empirical Risk Minimization with Applications
to High-dimensional Regression},
booktitle = {{COLT} 2012 - The 25th Annual Conference on Learning Theory, June
25-27, 2012, Edinburgh, Scotland},
series = {{JMLR} Proceedings},
volume = {23},
pages = {25.1--25.40},
publisher = {JMLR.org},
year = {2012},
url = {http://proceedings.mlr.press/v23/kifer12/kifer12.pdf},
timestamp = {Wed, 29 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/KiferST12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1209-4056,
author = {Kashyap Dixit and
Madhav Jha and
Abhradeep Thakurta},
title = {Testing Lipschitz Property over Product Distribution and its Applications
to Statistical Data Privacy},
journal = {CoRR},
volume = {abs/1209.4056},
year = {2012},
url = {http://arxiv.org/abs/1209.4056},
eprinttype = {arXiv},
eprint = {1209.4056},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1209-4056.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/asiacrypt/BhaskarBGLT11,
author = {Raghav Bhaskar and
Abhishek Bhowmick and
Vipul Goyal and
Srivatsan Laxman and
Abhradeep Thakurta},
editor = {Dong Hoon Lee and
Xiaoyun Wang},
title = {Noiseless Database Privacy},
booktitle = {Advances in Cryptology - {ASIACRYPT} 2011 - 17th International Conference
on the Theory and Application of Cryptology and Information Security,
Seoul, South Korea, December 4-8, 2011. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {7073},
pages = {215--232},
publisher = {Springer},
year = {2011},
url = {https://doi.org/10.1007/978-3-642-25385-0\_12},
doi = {10.1007/978-3-642-25385-0\_12},
timestamp = {Tue, 14 May 2019 10:00:40 +0200},
biburl = {https://dblp.org/rec/conf/asiacrypt/BhaskarBGLT11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1109-0105,
author = {Prateek Jain and
Pravesh Kothari and
Abhradeep Thakurta},
title = {Differentially Private Online Learning},
journal = {CoRR},
volume = {abs/1109.0105},
year = {2011},
url = {http://arxiv.org/abs/1109.0105},
eprinttype = {arXiv},
eprint = {1109.0105},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1109-0105.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/iacr/BhaskarBGLT11,
author = {Raghav Bhaskar and
Abhishek Bhowmick and
Vipul Goyal and
Srivatsan Laxman and
Abhradeep Thakurta},
title = {Noiseless Database Privacy},
journal = {{IACR} Cryptol. ePrint Arch.},
pages = {487},
year = {2011},
url = {http://eprint.iacr.org/2011/487},
timestamp = {Mon, 11 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/iacr/BhaskarBGLT11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/BhaskarLST10,
author = {Raghav Bhaskar and
Srivatsan Laxman and
Adam D. Smith and
Abhradeep Thakurta},
editor = {Bharat Rao and
Balaji Krishnapuram and
Andrew Tomkins and
Qiang Yang},
title = {Discovering frequent patterns in sensitive data},
booktitle = {Proceedings of the 16th {ACM} {SIGKDD} International Conference on
Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28,
2010},
pages = {503--512},
publisher = {{ACM}},
year = {2010},
url = {https://doi.org/10.1145/1835804.1835869},
doi = {10.1145/1835804.1835869},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/kdd/BhaskarLST10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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