BibTeX records: Rachel Cummings

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@inproceedings{DBLP:conf/aistats/OuCA24,
  author       = {Tingting Ou and
                  Rachel Cummings and
                  Marco Avella Medina},
  editor       = {Sanjoy Dasgupta and
                  Stephan Mandt and
                  Yingzhen Li},
  title        = {Thompson Sampling Itself is Differentially Private},
  booktitle    = {International Conference on Artificial Intelligence and Statistics,
                  2-4 May 2024, Palau de Congressos, Valencia, Spain},
  series       = {Proceedings of Machine Learning Research},
  volume       = {238},
  pages        = {1576--1584},
  publisher    = {{PMLR}},
  year         = {2024},
  url          = {https://proceedings.mlr.press/v238/ou24a.html},
  timestamp    = {Wed, 21 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/OuCA24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cslaw/BenthallC24,
  author       = {Sebastian Benthall and
                  Rachel Cummings},
  title        = {Integrating Differential Privacy and Contextual Integrity},
  booktitle    = {Proceedings of the Symposium on Computer Science and Law, {CSLAW}
                  2024, Boston, MA, USA, March 12-13, 2024},
  pages        = {9--15},
  publisher    = {{ACM}},
  year         = {2024},
  url          = {https://doi.org/10.1145/3614407.3643702},
  doi          = {10.1145/3614407.3643702},
  timestamp    = {Mon, 15 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/cslaw/BenthallC24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2401-15774,
  author       = {Sebastian Benthall and
                  Rachel Cummings},
  title        = {Integrating Differential Privacy and Contextual Integrity},
  journal      = {CoRR},
  volume       = {abs/2401.15774},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2401.15774},
  doi          = {10.48550/ARXIV.2401.15774},
  eprinttype    = {arXiv},
  eprint       = {2401.15774},
  timestamp    = {Tue, 06 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2401-15774.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-01716,
  author       = {Rachel Cummings and
                  Shlomi Hod and
                  Jayshree Sarathy and
                  Marika Swanberg},
  title        = {{ATTAXONOMY:} Unpacking Differential Privacy Guarantees Against Practical
                  Adversaries},
  journal      = {CoRR},
  volume       = {abs/2405.01716},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2405.01716},
  doi          = {10.48550/ARXIV.2405.01716},
  eprinttype    = {arXiv},
  eprint       = {2405.01716},
  timestamp    = {Sun, 09 Jun 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2405-01716.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2406-12103,
  author       = {Rachel Cummings and
                  Jayshree Sarathy},
  title        = {Centering Policy and Practice: Research Gaps around Usable Differential
                  Privacy},
  journal      = {CoRR},
  volume       = {abs/2406.12103},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2406.12103},
  doi          = {10.48550/ARXIV.2406.12103},
  eprinttype    = {arXiv},
  eprint       = {2406.12103},
  timestamp    = {Thu, 18 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2406-12103.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2407-14879,
  author       = {Tingting Ou and
                  Marco Avella Medina and
                  Rachel Cummings},
  title        = {Thompson Sampling Itself is Differentially Private},
  journal      = {CoRR},
  volume       = {abs/2407.14879},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2407.14879},
  doi          = {10.48550/ARXIV.2407.14879},
  eprinttype    = {arXiv},
  eprint       = {2407.14879},
  timestamp    = {Thu, 22 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2407-14879.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2408-08475,
  author       = {Mary Anne Smart and
                  Priyanka Nanayakkara and
                  Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  title        = {Models Matter: Setting Accurate Privacy Expectations for Local and
                  Central Differential Privacy},
  journal      = {CoRR},
  volume       = {abs/2408.08475},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2408.08475},
  doi          = {10.48550/ARXIV.2408.08475},
  eprinttype    = {arXiv},
  eprint       = {2408.08475},
  timestamp    = {Mon, 23 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2408-08475.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jpc/CummingsKR23,
  author       = {Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  title        = {"I need a better description": An Investigation Into User
                  Expectations For Differential Privacy},
  journal      = {J. Priv. Confidentiality},
  volume       = {13},
  number       = {1},
  year         = {2023},
  url          = {https://doi.org/10.29012/jpc.813},
  doi          = {10.29012/JPC.813},
  timestamp    = {Sat, 13 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/jpc/CummingsKR23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RhoCM23,
  author       = {Saeyoung Rho and
                  Rachel Cummings and
                  Vishal Misra},
  editor       = {Francisco J. R. Ruiz and
                  Jennifer G. Dy and
                  Jan{-}Willem van de Meent},
  title        = {Differentially Private Synthetic Control},
  booktitle    = {International Conference on Artificial Intelligence and Statistics,
                  25-27 April 2023, Palau de Congressos, Valencia, Spain},
  series       = {Proceedings of Machine Learning Research},
  volume       = {206},
  pages        = {1457--1491},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v206/rho23a.html},
  timestamp    = {Mon, 19 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/RhoCM23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AznagCE23,
  author       = {Abdellah Aznag and
                  Rachel Cummings and
                  Adam N. Elmachtoub},
  editor       = {Alice Oh and
                  Tristan Naumann and
                  Amir Globerson and
                  Kate Saenko and
                  Moritz Hardt and
                  Sergey Levine},
  title        = {An active learning framework for multi-group mean estimation},
  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/67390075fe466276797f489115582cdc-Abstract-Conference.html},
  timestamp    = {Fri, 01 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/AznagCE23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/satml/CummingsEPGZ23,
  author       = {Rachel Cummings and
                  Hadi Elzayn and
                  Emmanouil Pountourakis and
                  Vasilis Gkatzelis and
                  Juba Ziani},
  title        = {Optimal Data Acquisition with Privacy-Aware Agents},
  booktitle    = {2023 {IEEE} Conference on Secure and Trustworthy Machine Learning,
                  SaTML 2023, Raleigh, NC, USA, February 8-10, 2023},
  pages        = {210--224},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/SaTML54575.2023.00023},
  doi          = {10.1109/SATML54575.2023.00023},
  timestamp    = {Fri, 17 May 2024 11:50:31 +0200},
  biburl       = {https://dblp.org/rec/conf/satml/CummingsEPGZ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigecom/DekelCHL23,
  author       = {Inbal Dekel and
                  Rachel Cummings and
                  Ori Heffetz and
                  Katrina Ligett},
  editor       = {Kevin Leyton{-}Brown and
                  Jason D. Hartline and
                  Larry Samuelson},
  title        = {The Privacy Elasticity of Behavior: Conceptualization and Application},
  booktitle    = {Proceedings of the 24th {ACM} Conference on Economics and Computation,
                  {EC} 2023, London, United Kingdom, July 9-12, 2023},
  pages        = {516},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3580507.3597778},
  doi          = {10.1145/3580507.3597778},
  timestamp    = {Fri, 21 Jul 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sigecom/DekelCHL23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/tpsisa/CummingsS23,
  author       = {Rachel Cummings and
                  Jayshree Sarathy},
  title        = {Centering Policy and Practice: Research Gaps Around Usable Differential
                  Privacy},
  booktitle    = {5th {IEEE} International Conference on Trust, Privacy and Security
                  in Intelligent Systems and Applications, {TPS-ISA} 2023, Atlanta,
                  GA, USA, November 1-4, 2023},
  pages        = {122--135},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/TPS-ISA58951.2023.00024},
  doi          = {10.1109/TPS-ISA58951.2023.00024},
  timestamp    = {Tue, 05 Mar 2024 12:00:59 +0100},
  biburl       = {https://dblp.org/rec/conf/tpsisa/CummingsS23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uss/NanayakkaraSCKR23,
  author       = {Priyanka Nanayakkara and
                  Mary Anne Smart and
                  Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  editor       = {Joseph A. Calandrino and
                  Carmela Troncoso},
  title        = {What Are the Chances? Explaining the Epsilon Parameter in Differential
                  Privacy},
  booktitle    = {32nd {USENIX} Security Symposium, {USENIX} Security 2023, Anaheim,
                  CA, USA, August 9-11, 2023},
  pages        = {1613--1630},
  publisher    = {{USENIX} Association},
  year         = {2023},
  url          = {https://www.usenix.org/conference/usenixsecurity23/presentation/nanayakkara},
  timestamp    = {Wed, 18 Oct 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/uss/NanayakkaraSCKR23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-01237,
  author       = {Sloan Nietert and
                  Rachel Cummings and
                  Ziv Goldfeld},
  title        = {Robust Estimation under the Wasserstein Distance},
  journal      = {CoRR},
  volume       = {abs/2302.01237},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2302.01237},
  doi          = {10.48550/ARXIV.2302.01237},
  eprinttype    = {arXiv},
  eprint       = {2302.01237},
  timestamp    = {Mon, 13 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2302-01237.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-00738,
  author       = {Priyanka Nanayakkara and
                  Mary Anne Smart and
                  Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  title        = {What Are the Chances? Explaining the Epsilon Parameter in Differential
                  Privacy},
  journal      = {CoRR},
  volume       = {abs/2303.00738},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2303.00738},
  doi          = {10.48550/ARXIV.2303.00738},
  eprinttype    = {arXiv},
  eprint       = {2303.00738},
  timestamp    = {Mon, 06 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2303-00738.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2303-14084,
  author       = {Saeyoung Rho and
                  Rachel Cummings and
                  Vishal Misra},
  title        = {Differentially Private Synthetic Control},
  journal      = {CoRR},
  volume       = {abs/2303.14084},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2303.14084},
  doi          = {10.48550/ARXIV.2303.14084},
  eprinttype    = {arXiv},
  eprint       = {2303.14084},
  timestamp    = {Fri, 14 Apr 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2303-14084.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, 13 Aug 2024 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-2307-15835,
  author       = {Rachel Cummings and
                  Vitaly Feldman and
                  Audra McMillan and
                  Kunal Talwar},
  title        = {Mean Estimation with User-level Privacy under Data Heterogeneity},
  journal      = {CoRR},
  volume       = {abs/2307.15835},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2307.15835},
  doi          = {10.48550/ARXIV.2307.15835},
  eprinttype    = {arXiv},
  eprint       = {2307.15835},
  timestamp    = {Wed, 02 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2307-15835.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/LiCM22,
  author       = {Qiaomei Li and
                  Rachel Cummings and
                  Yonatan Mintz},
  title        = {Optimal Local Explainer Aggregation for Interpretable Prediction},
  booktitle    = {Thirty-Sixth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2022, Thirty-Fourth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2022, The Twelveth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2022 Virtual Event, February 22
                  - March 1, 2022},
  pages        = {12000--12007},
  publisher    = {{AAAI} Press},
  year         = {2022},
  url          = {https://doi.org/10.1609/aaai.v36i11.21458},
  doi          = {10.1609/AAAI.V36I11.21458},
  timestamp    = {Mon, 04 Sep 2023 12:29:24 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/LiCM22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0001MC22,
  author       = {Wanrong Zhang and
                  Yajun Mei and
                  Rachel Cummings},
  editor       = {Gustau Camps{-}Valls and
                  Francisco J. R. Ruiz and
                  Isabel Valera},
  title        = {Private Sequential Hypothesis Testing for Statisticians: Privacy,
                  Error Rates, and Sample Size},
  booktitle    = {International Conference on Artificial Intelligence and Statistics,
                  {AISTATS} 2022, 28-30 March 2022, Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {151},
  pages        = {11356--11373},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v151/zhang22g.html},
  timestamp    = {Sat, 30 Sep 2023 09:34:08 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/0001MC22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NietertGC22,
  author       = {Sloan Nietert and
                  Ziv Goldfeld and
                  Rachel Cummings},
  editor       = {Gustau Camps{-}Valls and
                  Francisco J. R. Ruiz and
                  Isabel Valera},
  title        = {Outlier-Robust Optimal Transport: Duality, Structure, and Statistical
                  Analysis},
  booktitle    = {International Conference on Artificial Intelligence and Statistics,
                  {AISTATS} 2022, 28-30 March 2022, Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {151},
  pages        = {11691--11719},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v151/nietert22a.html},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/NietertGC22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/fat/ZhangOC22,
  author       = {Wanrong Zhang and
                  Olga Ohrimenko and
                  Rachel Cummings},
  title        = {Attribute Privacy: Framework and Mechanisms},
  booktitle    = {FAccT '22: 2022 {ACM} Conference on Fairness, Accountability, and
                  Transparency, Seoul, Republic of Korea, June 21 - 24, 2022},
  pages        = {757--766},
  publisher    = {{ACM}},
  year         = {2022},
  url          = {https://doi.org/10.1145/3531146.3533139},
  doi          = {10.1145/3531146.3533139},
  timestamp    = {Tue, 21 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/fat/ZhangOC22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/CummingsFMT22,
  author       = {Rachel Cummings and
                  Vitaly Feldman and
                  Audra McMillan and
                  Kunal Talwar},
  editor       = {Sanmi Koyejo and
                  S. Mohamed and
                  A. Agarwal and
                  Danielle Belgrave and
                  K. Cho and
                  A. Oh},
  title        = {Mean Estimation with User-level Privacy under Data Heterogeneity},
  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/bbba680acd2826f23928c6675a19f0e7-Abstract-Conference.html},
  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/CummingsFMT22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2204-04597,
  author       = {Wanrong Zhang and
                  Yajun Mei and
                  Rachel Cummings},
  title        = {Private Sequential Hypothesis Testing for Statisticians: Privacy,
                  Error Rates, and Sample Size},
  journal      = {CoRR},
  volume       = {abs/2204.04597},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2204.04597},
  doi          = {10.48550/ARXIV.2204.04597},
  eprinttype    = {arXiv},
  eprint       = {2204.04597},
  timestamp    = {Wed, 13 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2204-04597.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-06340,
  author       = {Rachel Cummings and
                  Hadi Elzayn and
                  Vasilis Gkatzelis and
                  Emmanouil Pountourakis and
                  Juba Ziani},
  title        = {Optimal Data Acquisition with Privacy-Aware Agents},
  journal      = {CoRR},
  volume       = {abs/2209.06340},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2209.06340},
  doi          = {10.48550/ARXIV.2209.06340},
  eprinttype    = {arXiv},
  eprint       = {2209.06340},
  timestamp    = {Tue, 27 Sep 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2209-06340.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ftml/KairouzMABBBBCC21,
  author       = {Peter Kairouz and
                  H. Brendan McMahan and
                  Brendan Avent and
                  Aur{\'{e}}lien Bellet and
                  Mehdi Bennis and
                  Arjun Nitin Bhagoji and
                  Kallista A. Bonawitz and
                  Zachary Charles and
                  Graham Cormode and
                  Rachel Cummings and
                  Rafael G. L. D'Oliveira and
                  Hubert Eichner and
                  Salim El Rouayheb and
                  David Evans and
                  Josh Gardner and
                  Zachary Garrett and
                  Adri{\`{a}} Gasc{\'{o}}n and
                  Badih Ghazi and
                  Phillip B. Gibbons and
                  Marco Gruteser and
                  Za{\"{\i}}d Harchaoui and
                  Chaoyang He and
                  Lie He and
                  Zhouyuan Huo and
                  Ben Hutchinson and
                  Justin Hsu and
                  Martin Jaggi and
                  Tara Javidi and
                  Gauri Joshi and
                  Mikhail Khodak and
                  Jakub Kone{\v{c}}n{\'y} and
                  Aleksandra Korolova and
                  Farinaz Koushanfar and
                  Sanmi Koyejo and
                  Tancr{\`{e}}de Lepoint and
                  Yang Liu and
                  Prateek Mittal and
                  Mehryar Mohri and
                  Richard Nock and
                  Ayfer {\"{O}}zg{\"{u}}r and
                  Rasmus Pagh and
                  Hang Qi and
                  Daniel Ramage and
                  Ramesh Raskar and
                  Mariana Raykova and
                  Dawn Song and
                  Weikang Song and
                  Sebastian U. Stich and
                  Ziteng Sun and
                  Ananda Theertha Suresh and
                  Florian Tram{\`{e}}r and
                  Praneeth Vepakomma and
                  Jianyu Wang and
                  Li Xiong and
                  Zheng Xu and
                  Qiang Yang and
                  Felix X. Yu and
                  Han Yu and
                  Sen Zhao},
  title        = {Advances and Open Problems in Federated Learning},
  journal      = {Found. Trends Mach. Learn.},
  volume       = {14},
  number       = {1-2},
  pages        = {1--210},
  year         = {2021},
  url          = {https://doi.org/10.1561/2200000083},
  doi          = {10.1561/2200000083},
  timestamp    = {Mon, 02 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/ftml/KairouzMABBBBCC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/idt/TantipongpipatW21,
  author       = {Uthaipon Tao Tantipongpipat and
                  Chris Waites and
                  Digvijay Boob and
                  Amaresh Ankit Siva and
                  Rachel Cummings},
  title        = {Differentially private synthetic mixed-type data generation for unsupervised
                  learning},
  journal      = {Intell. Decis. Technol.},
  volume       = {15},
  number       = {4},
  pages        = {779--807},
  year         = {2021},
  url          = {https://doi.org/10.3233/IDT-210195},
  doi          = {10.3233/IDT-210195},
  timestamp    = {Sat, 26 Feb 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/idt/TantipongpipatW21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangKTMC21,
  author       = {Wanrong Zhang and
                  Sara Krehbiel and
                  Rui Tuo and
                  Yajun Mei and
                  Rachel Cummings},
  title        = {Single and Multiple Change-Point Detection with Differential Privacy},
  journal      = {J. Mach. Learn. Res.},
  volume       = {22},
  pages        = {29:1--29:36},
  year         = {2021},
  url          = {https://jmlr.org/papers/v22/19-770.html},
  timestamp    = {Wed, 11 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jmlr/ZhangKTMC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aies/WaitesC21,
  author       = {Chris Waites and
                  Rachel Cummings},
  editor       = {Marion Fourcade and
                  Benjamin Kuipers and
                  Seth Lazar and
                  Deirdre K. Mulligan},
  title        = {Differentially Private Normalizing Flows for Privacy-Preserving Density
                  Estimation},
  booktitle    = {{AIES} '21: {AAAI/ACM} Conference on AI, Ethics, and Society, Virtual
                  Event, USA, May 19-21, 2021},
  pages        = {1000--1009},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3461702.3462625},
  doi          = {10.1145/3461702.3462625},
  timestamp    = {Mon, 02 Aug 2021 11:56:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aies/WaitesC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Perez-SalazarC21,
  author       = {Sebastian Perez{-}Salazar and
                  Rachel Cummings},
  editor       = {Arindam Banerjee and
                  Kenji Fukumizu},
  title        = {Differentially Private Online Submodular Maximization},
  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        = {1279--1287},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {http://proceedings.mlr.press/v130/perez-salazar21a.html},
  timestamp    = {Wed, 14 Apr 2021 16:51:37 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/Perez-SalazarC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ccs/CummingsKR21,
  author       = {Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  editor       = {Yongdae Kim and
                  Jong Kim and
                  Giovanni Vigna and
                  Elaine Shi},
  title        = {"I need a better description": An Investigation Into User
                  Expectations For Differential Privacy},
  booktitle    = {{CCS} '21: 2021 {ACM} {SIGSAC} Conference on Computer and Communications
                  Security, Virtual Event, Republic of Korea, November 15 - 19, 2021},
  pages        = {3037--3052},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3460120.3485252},
  doi          = {10.1145/3460120.3485252},
  timestamp    = {Tue, 16 Nov 2021 12:59:46 +0100},
  biburl       = {https://dblp.org/rec/conf/ccs/CummingsKR21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Zhang0C21,
  author       = {Wanrong Zhang and
                  Gautam Kamath and
                  Rachel Cummings},
  editor       = {Marina Meila and
                  Tong Zhang},
  title        = {{PAPRIKA:} Private Online False Discovery Rate Control},
  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        = {12458--12467},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {http://proceedings.mlr.press/v139/zhang21j.html},
  timestamp    = {Wed, 25 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/Zhang0C21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iisa/TantipongpipatW21,
  author       = {Uthaipon Tao Tantipongpipat and
                  Chris Waites and
                  Digvijay Boob and
                  Amaresh Ankit Siva and
                  Rachel Cummings},
  editor       = {Nikolaos G. Bourbakis and
                  George A. Tsihrintzis and
                  Maria Virvou},
  title        = {Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised
                  Learning},
  booktitle    = {12th International Conference on Information, Intelligence, Systems
                  {\&} Applications, {IISA} 2021, Chania Crete, Greece, July 12-14,
                  2021},
  pages        = {1--9},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/IISA52424.2021.9555521},
  doi          = {10.1109/IISA52424.2021.9555521},
  timestamp    = {Wed, 13 Oct 2021 15:47:28 +0200},
  biburl       = {https://dblp.org/rec/conf/iisa/TantipongpipatW21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-14068,
  author       = {Chris Waites and
                  Rachel Cummings},
  title        = {Differentially Private Normalizing Flows for Privacy-Preserving Density
                  Estimation},
  journal      = {CoRR},
  volume       = {abs/2103.14068},
  year         = {2021},
  url          = {https://arxiv.org/abs/2103.14068},
  eprinttype    = {arXiv},
  eprint       = {2103.14068},
  timestamp    = {Wed, 07 Apr 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2103-14068.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-06745,
  author       = {Yuliia Lut and
                  Michael Wang and
                  Elissa M. Redmiles and
                  Rachel Cummings},
  title        = {How we browse: Measurement and analysis of digital behavior},
  journal      = {CoRR},
  volume       = {abs/2108.06745},
  year         = {2021},
  url          = {https://arxiv.org/abs/2108.06745},
  eprinttype    = {arXiv},
  eprint       = {2108.06745},
  timestamp    = {Wed, 18 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2108-06745.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-06452,
  author       = {Rachel Cummings and
                  Gabriel Kaptchuk and
                  Elissa M. Redmiles},
  title        = {"I need a better description": An Investigation Into User
                  Expectations For Differential Privacy},
  journal      = {CoRR},
  volume       = {abs/2110.06452},
  year         = {2021},
  url          = {https://arxiv.org/abs/2110.06452},
  eprinttype    = {arXiv},
  eprint       = {2110.06452},
  timestamp    = {Fri, 22 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2110-06452.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2111-01361,
  author       = {Sloan Nietert and
                  Rachel Cummings and
                  Ziv Goldfeld},
  title        = {Outlier-Robust Optimal Transport: Duality, Structure, and Statistical
                  Analysis},
  journal      = {CoRR},
  volume       = {abs/2111.01361},
  year         = {2021},
  url          = {https://arxiv.org/abs/2111.01361},
  eprinttype    = {arXiv},
  eprint       = {2111.01361},
  timestamp    = {Wed, 10 Nov 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2111-01361.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/aim/BangBBCCCCCDDEF20,
  author       = {Grace Bang and
                  Guy Barash and
                  Ryan Beal and
                  Jacques Cal{\`{\i}} and
                  Mauricio Castillo{-}Effen and
                  Xin Cynthia Chen and
                  Niyati Chhaya and
                  Rachel Cummings and
                  Rohan Dhoopar and
                  Sebastijan Dumancic and
                  Hu{\'{a}}scar Espinoza and
                  Eitan Farchi and
                  Ferdinando Fioretto and
                  Raquel Fuentetaja and
                  Christopher William Geib and
                  Odd Erik Gundersen and
                  Jos{\'{e}} Hern{\'{a}}ndez{-}Orallo and
                  Xiaowei Huang and
                  Kokil Jaidka and
                  Sarah Keren and
                  Seokhwan Kim and
                  Michel Galley and
                  Xiaomo Liu and
                  Tyler Lu and
                  Zhiqiang Ma and
                  Richard Mallah and
                  John A. McDermid and
                  Martin Michalowski and
                  Reuth Mirsky and
                  Se{\'{a}}n {\'{O}} h{\'{E}}igeartaigh and
                  Deepak Ramachandran and
                  Javier Segovia{-}Aguas and
                  Onn Shehory and
                  Arash Shaban{-}Nejad and
                  Vered Shwartz and
                  Siddharth Srivastava and
                  Kartik Talamadupula and
                  Jian Tang and
                  Pascal Van Hentenryck and
                  Dell Zhang and
                  Jian Zhang},
  title        = {The Association for the Advancement of Artificial Intelligence 2020
                  Workshop Program},
  journal      = {{AI} Mag.},
  volume       = {41},
  number       = {4},
  pages        = {100--114},
  year         = {2020},
  url          = {https://doi.org/10.1609/aimag.v41i4.7398},
  doi          = {10.1609/AIMAG.V41I4.7398},
  timestamp    = {Mon, 22 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/aim/BangBBCCCCCDDEF20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/teco/CummingsPV20,
  author       = {Rachel Cummings and
                  David M. Pennock and
                  Jennifer Wortman Vaughan},
  title        = {The Possibilities and Limitations of Private Prediction Markets},
  journal      = {{ACM} Trans. Economics and Comput.},
  volume       = {8},
  number       = {3},
  pages        = {15:1--15:24},
  year         = {2020},
  url          = {https://doi.org/10.1145/3412348},
  doi          = {10.1145/3412348},
  timestamp    = {Wed, 04 Nov 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/teco/CummingsPV20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ccs/CummingsH20,
  author       = {Rachel Cummings and
                  Michael Hay},
  editor       = {Jay Ligatti and
                  Xinming Ou and
                  Jonathan Katz and
                  Giovanni Vigna},
  title        = {TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy},
  booktitle    = {{CCS} '20: 2020 {ACM} {SIGSAC} Conference on Computer and Communications
                  Security, Virtual Event, USA, November 9-13, 2020},
  pages        = {2153--2154},
  publisher    = {{ACM}},
  year         = {2020},
  url          = {https://doi.org/10.1145/3372297.3416253},
  doi          = {10.1145/3372297.3416253},
  timestamp    = {Tue, 10 Nov 2020 19:56:39 +0100},
  biburl       = {https://dblp.org/rec/conf/ccs/CummingsH20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CummingsKLZ20,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Yuliia Lut and
                  Wanrong Zhang},
  title        = {Privately detecting changes in unknown distributions},
  booktitle    = {Proceedings of the 37th International Conference on Machine Learning,
                  {ICML} 2020, 13-18 July 2020, Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {119},
  pages        = {2227--2237},
  publisher    = {{PMLR}},
  year         = {2020},
  url          = {http://proceedings.mlr.press/v119/cummings20a.html},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/CummingsKLZ20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/CummingsD20,
  author       = {Rachel Cummings and
                  David Durfee},
  editor       = {Shuchi Chawla},
  title        = {Individual Sensitivity Preprocessing for Data Privacy},
  booktitle    = {Proceedings of the 2020 {ACM-SIAM} Symposium on Discrete Algorithms,
                  {SODA} 2020, Salt Lake City, UT, USA, January 5-8, 2020},
  pages        = {528--547},
  publisher    = {{SIAM}},
  year         = {2020},
  url          = {https://doi.org/10.1137/1.9781611975994.32},
  doi          = {10.1137/1.9781611975994.32},
  timestamp    = {Thu, 15 Jul 2021 13:48:53 +0200},
  biburl       = {https://dblp.org/rec/conf/soda/CummingsD20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/CummingsD0W20,
  author       = {Rachel Cummings and
                  Nikhil R. Devanur and
                  Zhiyi Huang and
                  Xiangning Wang},
  editor       = {Shuchi Chawla},
  title        = {Algorithmic Price Discrimination},
  booktitle    = {Proceedings of the 2020 {ACM-SIAM} Symposium on Discrete Algorithms,
                  {SODA} 2020, Salt Lake City, UT, USA, January 5-8, 2020},
  pages        = {2432--2451},
  publisher    = {{SIAM}},
  year         = {2020},
  url          = {https://doi.org/10.1137/1.9781611975994.149},
  doi          = {10.1137/1.9781611975994.149},
  timestamp    = {Thu, 15 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/soda/CummingsD0W20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-12321,
  author       = {Wanrong Zhang and
                  Gautam Kamath and
                  Rachel Cummings},
  title        = {{PAPRIKA:} Private Online False Discovery Rate Control},
  journal      = {CoRR},
  volume       = {abs/2002.12321},
  year         = {2020},
  url          = {https://arxiv.org/abs/2002.12321},
  eprinttype    = {arXiv},
  eprint       = {2002.12321},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2002-12321.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-09466,
  author       = {Qiaomei Li and
                  Rachel Cummings and
                  Yonatan Mintz},
  title        = {Locally Interpretable Predictions of Parkinson's Disease Progression},
  journal      = {CoRR},
  volume       = {abs/2003.09466},
  year         = {2020},
  url          = {https://arxiv.org/abs/2003.09466},
  eprinttype    = {arXiv},
  eprint       = {2003.09466},
  timestamp    = {Tue, 24 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2003-09466.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2009-04013,
  author       = {Wanrong Zhang and
                  Olga Ohrimenko and
                  Rachel Cummings},
  title        = {Attribute Privacy: Framework and Mechanisms},
  journal      = {CoRR},
  volume       = {abs/2009.04013},
  year         = {2020},
  url          = {https://arxiv.org/abs/2009.04013},
  eprinttype    = {arXiv},
  eprint       = {2009.04013},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2009-04013.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2010-12816,
  author       = {Sebastian Perez{-}Salazar and
                  Rachel Cummings},
  title        = {Differentially Private Online Submodular Maximization},
  journal      = {CoRR},
  volume       = {abs/2010.12816},
  year         = {2020},
  url          = {https://arxiv.org/abs/2010.12816},
  eprinttype    = {arXiv},
  eprint       = {2010.12816},
  timestamp    = {Mon, 02 Nov 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2010-12816.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CardosoC19,
  author       = {Adrian Rivera Cardoso and
                  Rachel Cummings},
  editor       = {Kamalika Chaudhuri and
                  Masashi Sugiyama},
  title        = {Differentially Private Online Submodular Minimization},
  booktitle    = {The 22nd International Conference on Artificial Intelligence and Statistics,
                  {AISTATS} 2019, 16-18 April 2019, Naha, Okinawa, Japan},
  series       = {Proceedings of Machine Learning Research},
  volume       = {89},
  pages        = {1650--1658},
  publisher    = {{PMLR}},
  year         = {2019},
  url          = {http://proceedings.mlr.press/v89/cardoso19b.html},
  timestamp    = {Fri, 07 Jun 2019 09:03:47 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/CardosoC19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AbernethyCKTM19,
  author       = {Jacob D. Abernethy and
                  Rachel Cummings and
                  Bhuvesh Kumar and
                  Sam Taggart and
                  Jamie Morgenstern},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {Learning Auctions with Robust Incentive Guarantees},
  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        = {11587--11597},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/c14a2a57ead18f3532a5a8949382c536-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/AbernethyCKTM19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/um/CummingsGKM19,
  author       = {Rachel Cummings and
                  Varun Gupta and
                  Dhamma Kimpara and
                  Jamie Morgenstern},
  editor       = {George Angelos Papadopoulos and
                  George Samaras and
                  Stephan Weibelzahl and
                  Dietmar Jannach and
                  Olga C. Santos},
  title        = {On the Compatibility of Privacy and Fairness},
  booktitle    = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation
                  and Personalization, {UMAP} 2019, Larnaca, Cyprus, June 09-12, 2019},
  pages        = {309--315},
  publisher    = {{ACM}},
  year         = {2019},
  url          = {https://doi.org/10.1145/3314183.3323847},
  doi          = {10.1145/3314183.3323847},
  timestamp    = {Mon, 17 Apr 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/um/CummingsGKM19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1910-01327,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Yuliia Lut and
                  Wanrong Zhang},
  title        = {Privately detecting changes in unknown distributions},
  journal      = {CoRR},
  volume       = {abs/1910.01327},
  year         = {2019},
  url          = {http://arxiv.org/abs/1910.01327},
  eprinttype    = {arXiv},
  eprint       = {1910.01327},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1910-01327.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-03250,
  author       = {Uthaipon Tantipongpipat and
                  Chris Waites and
                  Digvijay Boob and
                  Amaresh Ankit Siva and
                  Rachel Cummings},
  title        = {Differentially Private Mixed-Type Data Generation For Unsupervised
                  Learning},
  journal      = {CoRR},
  volume       = {abs/1912.03250},
  year         = {2019},
  url          = {http://arxiv.org/abs/1912.03250},
  eprinttype    = {arXiv},
  eprint       = {1912.03250},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1912-03250.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-04977,
  author       = {Peter Kairouz and
                  H. Brendan McMahan and
                  Brendan Avent and
                  Aur{\'{e}}lien Bellet and
                  Mehdi Bennis and
                  Arjun Nitin Bhagoji and
                  Kallista A. Bonawitz and
                  Zachary Charles and
                  Graham Cormode and
                  Rachel Cummings and
                  Rafael G. L. D'Oliveira and
                  Salim El Rouayheb and
                  David Evans and
                  Josh Gardner and
                  Zachary Garrett and
                  Adri{\`{a}} Gasc{\'{o}}n and
                  Badih Ghazi and
                  Phillip B. Gibbons and
                  Marco Gruteser and
                  Za{\"{\i}}d Harchaoui and
                  Chaoyang He and
                  Lie He and
                  Zhouyuan Huo and
                  Ben Hutchinson and
                  Justin Hsu and
                  Martin Jaggi and
                  Tara Javidi and
                  Gauri Joshi and
                  Mikhail Khodak and
                  Jakub Kone{\v{c}}n{\'y} and
                  Aleksandra Korolova and
                  Farinaz Koushanfar and
                  Sanmi Koyejo and
                  Tancr{\`{e}}de Lepoint and
                  Yang Liu and
                  Prateek Mittal and
                  Mehryar Mohri and
                  Richard Nock and
                  Ayfer {\"{O}}zg{\"{u}}r and
                  Rasmus Pagh and
                  Mariana Raykova and
                  Hang Qi and
                  Daniel Ramage and
                  Ramesh Raskar and
                  Dawn Song and
                  Weikang Song and
                  Sebastian U. Stich and
                  Ziteng Sun and
                  Ananda Theertha Suresh and
                  Florian Tram{\`{e}}r and
                  Praneeth Vepakomma and
                  Jianyu Wang and
                  Li Xiong and
                  Zheng Xu and
                  Qiang Yang and
                  Felix X. Yu and
                  Han Yu and
                  Sen Zhao},
  title        = {Advances and Open Problems in Federated Learning},
  journal      = {CoRR},
  volume       = {abs/1912.04977},
  year         = {2019},
  url          = {http://arxiv.org/abs/1912.04977},
  eprinttype    = {arXiv},
  eprint       = {1912.04977},
  timestamp    = {Mon, 02 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1912-04977.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-05770,
  author       = {Rachel Cummings and
                  Nikhil R. Devanur and
                  Zhiyi Huang and
                  Xiangning Wang},
  title        = {Algorithmic Price Discrimination},
  journal      = {CoRR},
  volume       = {abs/1912.05770},
  year         = {2019},
  url          = {http://arxiv.org/abs/1912.05770},
  eprinttype    = {arXiv},
  eprint       = {1912.05770},
  timestamp    = {Thu, 02 Jan 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1912-05770.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/CummingsKLT18,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Kevin A. Lai and
                  Uthaipon Tao Tantipongpipat},
  editor       = {Samy Bengio and
                  Hanna M. Wallach and
                  Hugo Larochelle and
                  Kristen Grauman and
                  Nicol{\`{o}} Cesa{-}Bianchi and
                  Roman Garnett},
  title        = {Differential Privacy for Growing Databases},
  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        = {8878--8887},
  year         = {2018},
  url          = {https://proceedings.neurips.cc/paper/2018/hash/ac27b77292582bc293a51055bfc994ee-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/CummingsKLT18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/CummingsKMTZ18,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Yajun Mei and
                  Rui Tuo and
                  Wanrong Zhang},
  editor       = {Samy Bengio and
                  Hanna M. Wallach and
                  Hugo Larochelle and
                  Kristen Grauman and
                  Nicol{\`{o}} Cesa{-}Bianchi and
                  Roman Garnett},
  title        = {Differentially Private Change-Point Detection},
  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        = {10848--10857},
  year         = {2018},
  url          = {https://proceedings.neurips.cc/paper/2018/hash/f19ec2b84181033bf4753a5a51d5d608-Abstract.html},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/CummingsKMTZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-06416,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Kevin A. Lai and
                  Uthaipon Tantipongpipat},
  title        = {Differential Privacy for Growing Databases},
  journal      = {CoRR},
  volume       = {abs/1803.06416},
  year         = {2018},
  url          = {http://arxiv.org/abs/1803.06416},
  eprinttype    = {arXiv},
  eprint       = {1803.06416},
  timestamp    = {Sat, 23 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1803-06416.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1804-08645,
  author       = {Rachel Cummings and
                  David Durfee},
  title        = {Individual Sensitivity Preprocessing for Data Privacy},
  journal      = {CoRR},
  volume       = {abs/1804.08645},
  year         = {2018},
  url          = {http://arxiv.org/abs/1804.08645},
  eprinttype    = {arXiv},
  eprint       = {1804.08645},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1804-08645.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1807-02290,
  author       = {Adrian Rivera Cardoso and
                  Rachel Cummings},
  title        = {Differentially Private Online Submodular Optimization},
  journal      = {CoRR},
  volume       = {abs/1807.02290},
  year         = {2018},
  url          = {http://arxiv.org/abs/1807.02290},
  eprinttype    = {arXiv},
  eprint       = {1807.02290},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1807-02290.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1808-10056,
  author       = {Rachel Cummings and
                  Sara Krehbiel and
                  Yajun Mei and
                  Rui Tuo and
                  Wanrong Zhang},
  title        = {Differentially Private Change-Point Detection},
  journal      = {CoRR},
  volume       = {abs/1808.10056},
  year         = {2018},
  url          = {http://arxiv.org/abs/1808.10056},
  eprinttype    = {arXiv},
  eprint       = {1808.10056},
  timestamp    = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1808-10056.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/crossroads/Cummings17,
  author       = {Rachel Cummings},
  title        = {Differential privacy as a tool for truthfulness in games},
  journal      = {{XRDS}},
  volume       = {24},
  number       = {1},
  pages        = {34--37},
  year         = {2017},
  url          = {https://doi.org/10.1145/3123742},
  doi          = {10.1145/3123742},
  timestamp    = {Fri, 03 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/crossroads/Cummings17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/dc/ChenCDS17,
  author       = {Ho{-}Lin Chen and
                  Rachel Cummings and
                  David Doty and
                  David Soloveichik},
  title        = {Speed faults in computation by chemical reaction networks},
  journal      = {Distributed Comput.},
  volume       = {30},
  number       = {5},
  pages        = {373--390},
  year         = {2017},
  url          = {https://doi.org/10.1007/s00446-015-0255-6},
  doi          = {10.1007/S00446-015-0255-6},
  timestamp    = {Fri, 13 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/dc/ChenCDS17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ior/CummingsEW16,
  author       = {Rachel Cummings and
                  Federico Echenique and
                  Adam Wierman},
  title        = {The Empirical Implications of Privacy-Aware Choice},
  journal      = {Oper. Res.},
  volume       = {64},
  number       = {1},
  pages        = {67--78},
  year         = {2016},
  url          = {https://doi.org/10.1287/opre.2015.1458},
  doi          = {10.1287/OPRE.2015.1458},
  timestamp    = {Tue, 31 Mar 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/ior/CummingsEW16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nc/CummingsDS16,
  author       = {Rachel Cummings and
                  David Doty and
                  David Soloveichik},
  title        = {Probability 1 computation with chemical reaction networks},
  journal      = {Nat. Comput.},
  volume       = {15},
  number       = {2},
  pages        = {245--261},
  year         = {2016},
  url          = {https://doi.org/10.1007/s11047-015-9501-x},
  doi          = {10.1007/S11047-015-9501-X},
  timestamp    = {Thu, 02 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/nc/CummingsDS16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CummingsLNRW16,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Kobbi Nissim and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  editor       = {Vitaly Feldman and
                  Alexander Rakhlin and
                  Ohad Shamir},
  title        = {Adaptive Learning with Robust Generalization Guarantees},
  booktitle    = {Proceedings of the 29th Conference on Learning Theory, {COLT} 2016,
                  New York, USA, June 23-26, 2016},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {49},
  pages        = {772--814},
  publisher    = {JMLR.org},
  year         = {2016},
  url          = {http://proceedings.mlr.press/v49/cummings16.html},
  timestamp    = {Thu, 23 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/CummingsLNRW16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/innovations/CummingsLRRW16,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Jaikumar Radhakrishnan and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  editor       = {Madhu Sudan},
  title        = {Coordination Complexity: Small Information Coordinating Large Populations},
  booktitle    = {Proceedings of the 2016 {ACM} Conference on Innovations in Theoretical
                  Computer Science, Cambridge, MA, USA, January 14-16, 2016},
  pages        = {281--290},
  publisher    = {{ACM}},
  year         = {2016},
  url          = {https://doi.org/10.1145/2840728.2840767},
  doi          = {10.1145/2840728.2840767},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/innovations/CummingsLRRW16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigecom/CummingsPV16,
  author       = {Rachel Cummings and
                  David M. Pennock and
                  Jennifer Wortman Vaughan},
  editor       = {Vincent Conitzer and
                  Dirk Bergemann and
                  Yiling Chen},
  title        = {The Possibilities and Limitations of Private Prediction Markets},
  booktitle    = {Proceedings of the 2016 {ACM} Conference on Economics and Computation,
                  {EC} '16, Maastricht, The Netherlands, July 24-28, 2016},
  pages        = {143--160},
  publisher    = {{ACM}},
  year         = {2016},
  url          = {https://doi.org/10.1145/2940716.2940721},
  doi          = {10.1145/2940716.2940721},
  timestamp    = {Fri, 09 Jul 2021 11:46:27 +0200},
  biburl       = {https://dblp.org/rec/conf/sigecom/CummingsPV16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigecom/CummingsLPR16,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Mallesh M. Pai and
                  Aaron Roth},
  editor       = {Vincent Conitzer and
                  Dirk Bergemann and
                  Yiling Chen},
  title        = {The Strange Case of Privacy in Equilibrium Models},
  booktitle    = {Proceedings of the 2016 {ACM} Conference on Economics and Computation,
                  {EC} '16, Maastricht, The Netherlands, July 24-28, 2016},
  pages        = {659},
  publisher    = {{ACM}},
  year         = {2016},
  url          = {https://doi.org/10.1145/2940716.2940740},
  doi          = {10.1145/2940716.2940740},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sigecom/CummingsLPR16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsPV16,
  author       = {Rachel Cummings and
                  David M. Pennock and
                  Jennifer Wortman Vaughan},
  title        = {The Possibilities and Limitations of Private Prediction Markets},
  journal      = {CoRR},
  volume       = {abs/1602.07362},
  year         = {2016},
  url          = {http://arxiv.org/abs/1602.07362},
  eprinttype    = {arXiv},
  eprint       = {1602.07362},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsPV16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsLNRW16,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Kobbi Nissim and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  title        = {Adaptive Learning with Robust Generalization Guarantees},
  journal      = {CoRR},
  volume       = {abs/1602.07726},
  year         = {2016},
  url          = {http://arxiv.org/abs/1602.07726},
  eprinttype    = {arXiv},
  eprint       = {1602.07726},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsLNRW16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/AminCDKR15,
  author       = {Kareem Amin and
                  Rachel Cummings and
                  Lili Dworkin and
                  Michael J. Kearns and
                  Aaron Roth},
  editor       = {Blai Bonet and
                  Sven Koenig},
  title        = {Online Learning and Profit Maximization from Revealed Preferences},
  booktitle    = {Proceedings of the Twenty-Ninth {AAAI} Conference on Artificial Intelligence,
                  January 25-30, 2015, Austin, Texas, {USA}},
  pages        = {770--776},
  publisher    = {{AAAI} Press},
  year         = {2015},
  url          = {https://doi.org/10.1609/aaai.v29i1.9332},
  doi          = {10.1609/AAAI.V29I1.9332},
  timestamp    = {Mon, 18 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/AminCDKR15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CummingsIL15,
  author       = {Rachel Cummings and
                  Stratis Ioannidis and
                  Katrina Ligett},
  editor       = {Peter Gr{\"{u}}nwald and
                  Elad Hazan and
                  Satyen Kale},
  title        = {Truthful Linear Regression},
  booktitle    = {Proceedings of The 28th Conference on Learning Theory, {COLT} 2015,
                  Paris, France, July 3-6, 2015},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {40},
  pages        = {448--483},
  publisher    = {JMLR.org},
  year         = {2015},
  url          = {http://proceedings.mlr.press/v40/Cummings15.html},
  timestamp    = {Wed, 29 May 2019 08:41:46 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/CummingsIL15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/innovations/CummingsLRWZ15,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Aaron Roth and
                  Zhiwei Steven Wu and
                  Juba Ziani},
  editor       = {Tim Roughgarden},
  title        = {Accuracy for Sale: Aggregating Data with a Variance Constraint},
  booktitle    = {Proceedings of the 2015 Conference on Innovations in Theoretical Computer
                  Science, {ITCS} 2015, Rehovot, Israel, January 11-13, 2015},
  pages        = {317--324},
  publisher    = {{ACM}},
  year         = {2015},
  url          = {https://doi.org/10.1145/2688073.2688106},
  doi          = {10.1145/2688073.2688106},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/innovations/CummingsLRWZ15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wine/CummingsKRW15,
  author       = {Rachel Cummings and
                  Michael J. Kearns and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  editor       = {Evangelos Markakis and
                  Guido Sch{\"{a}}fer},
  title        = {Privacy and Truthful Equilibrium Selection for Aggregative Games},
  booktitle    = {Web and Internet Economics - 11th International Conference, {WINE}
                  2015, Amsterdam, The Netherlands, December 9-12, 2015, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {9470},
  pages        = {286--299},
  publisher    = {Springer},
  year         = {2015},
  url          = {https://doi.org/10.1007/978-3-662-48995-6\_21},
  doi          = {10.1007/978-3-662-48995-6\_21},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/wine/CummingsKRW15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsIL15,
  author       = {Rachel Cummings and
                  Stratis Ioannidis and
                  Katrina Ligett},
  title        = {Truthful Linear Regression},
  journal      = {CoRR},
  volume       = {abs/1506.03489},
  year         = {2015},
  url          = {http://arxiv.org/abs/1506.03489},
  eprinttype    = {arXiv},
  eprint       = {1506.03489},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsIL15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsLPR15,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Mallesh M. Pai and
                  Aaron Roth},
  title        = {The Strange Case of Privacy in Equilibrium Models},
  journal      = {CoRR},
  volume       = {abs/1508.03080},
  year         = {2015},
  url          = {http://arxiv.org/abs/1508.03080},
  eprinttype    = {arXiv},
  eprint       = {1508.03080},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsLPR15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsLRRW15,
  author       = {Rachel Cummings and
                  Katrina Ligett and
                  Jaikumar Radhakrishnan and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  title        = {Coordination Complexity: Small Information Coordinating Large Populations},
  journal      = {CoRR},
  volume       = {abs/1508.03735},
  year         = {2015},
  url          = {http://arxiv.org/abs/1508.03735},
  eprinttype    = {arXiv},
  eprint       = {1508.03735},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsLRRW15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/dna/CummingsDS14,
  author       = {Rachel Cummings and
                  David Doty and
                  David Soloveichik},
  editor       = {Satoshi Murata and
                  Satoshi Kobayashi},
  title        = {Probability 1 Computation with Chemical Reaction Networks},
  booktitle    = {{DNA} Computing and Molecular Programming - 20th International Conference,
                  {DNA} 20, Kyoto, Japan, September 22-26, 2014. Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {8727},
  pages        = {37--52},
  publisher    = {Springer},
  year         = {2014},
  url          = {https://doi.org/10.1007/978-3-319-11295-4\_3},
  doi          = {10.1007/978-3-319-11295-4\_3},
  timestamp    = {Tue, 14 May 2019 10:00:40 +0200},
  biburl       = {https://dblp.org/rec/conf/dna/CummingsDS14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sigecom/CummingsEW14,
  author       = {Rachel Cummings and
                  Federico Echenique and
                  Adam Wierman},
  editor       = {Moshe Babaioff and
                  Vincent Conitzer and
                  David A. Easley},
  title        = {The empirical implications of privacy-aware choice},
  booktitle    = {{ACM} Conference on Economics and Computation, {EC} '14, Stanford
                  , CA, USA, June 8-12, 2014},
  pages        = {969},
  publisher    = {{ACM}},
  year         = {2014},
  url          = {https://doi.org/10.1145/2600057.2602830},
  doi          = {10.1145/2600057.2602830},
  timestamp    = {Tue, 15 Oct 2019 12:02:28 +0200},
  biburl       = {https://dblp.org/rec/conf/sigecom/CummingsEW14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wdag/ChenCDS14,
  author       = {Ho{-}Lin Chen and
                  Rachel Cummings and
                  David Doty and
                  David Soloveichik},
  editor       = {Fabian Kuhn},
  title        = {Speed Faults in Computation by Chemical Reaction Networks},
  booktitle    = {Distributed Computing - 28th International Symposium, {DISC} 2014,
                  Austin, TX, USA, October 12-15, 2014. Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {8784},
  pages        = {16--30},
  publisher    = {Springer},
  year         = {2014},
  url          = {https://doi.org/10.1007/978-3-662-45174-8\_2},
  doi          = {10.1007/978-3-662-45174-8\_2},
  timestamp    = {Tue, 14 May 2019 10:00:54 +0200},
  biburl       = {https://dblp.org/rec/conf/wdag/ChenCDS14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsEW14,
  author       = {Rachel Cummings and
                  Federico Echenique and
                  Adam Wierman},
  title        = {The Empirical Implications of Privacy-Aware Choice},
  journal      = {CoRR},
  volume       = {abs/1401.0336},
  year         = {2014},
  url          = {http://arxiv.org/abs/1401.0336},
  eprinttype    = {arXiv},
  eprint       = {1401.0336},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsEW14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AminCDKR14,
  author       = {Kareem Amin and
                  Rachel Cummings and
                  Lili Dworkin and
                  Michael J. Kearns and
                  Aaron Roth},
  title        = {Online Learning and Profit Maximization from Revealed Preferences},
  journal      = {CoRR},
  volume       = {abs/1407.7294},
  year         = {2014},
  url          = {http://arxiv.org/abs/1407.7294},
  eprinttype    = {arXiv},
  eprint       = {1407.7294},
  timestamp    = {Mon, 22 Aug 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AminCDKR14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CummingsKRW14,
  author       = {Rachel Cummings and
                  Michael J. Kearns and
                  Aaron Roth and
                  Zhiwei Steven Wu},
  title        = {Privacy and Truthful Equilibrium Selection for Aggregative Games},
  journal      = {CoRR},
  volume       = {abs/1407.7740},
  year         = {2014},
  url          = {http://arxiv.org/abs/1407.7740},
  eprinttype    = {arXiv},
  eprint       = {1407.7740},
  timestamp    = {Tue, 08 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/CummingsKRW14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sdm/ChenCCKLRSWWY11,
  author       = {Wei Chen and
                  Alex Collins and
                  Rachel Cummings and
                  Te Ke and
                  Zhenming Liu and
                  David Rinc{\'{o}}n and
                  Xiaorui Sun and
                  Yajun Wang and
                  Wei Wei and
                  Yifei Yuan},
  title        = {Influence Maximization in Social Networks When Negative Opinions May
                  Emerge and Propagate},
  booktitle    = {Proceedings of the Eleventh {SIAM} International Conference on Data
                  Mining, {SDM} 2011, April 28-30, 2011, Mesa, Arizona, {USA}},
  pages        = {379--390},
  publisher    = {{SIAM} / Omnipress},
  year         = {2011},
  url          = {https://doi.org/10.1137/1.9781611972818.33},
  doi          = {10.1137/1.9781611972818.33},
  timestamp    = {Tue, 01 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sdm/ChenCCKLRSWWY11.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}