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Ali Shafahi
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2020 – today
- 2023
- [c11]Amin Ghiasi, Ali Shafahi, Reza Ardekani:
Improving Robustness with Adaptive Weight Decay. NeurIPS 2023 - 2022
- [i17]Amin Ghiasi, Ali Shafahi, Reza Ardekani:
Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving Robustness. CoRR abs/2210.00094 (2022) - 2020
- [b1]Ali Shafahi:
Adversarial Vulnerabilities of Deep Networks and Affordable Robustness. University of Maryland, College Park, MD, USA, 2020 - [c10]Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. AAAI 2020: 5636-5643 - [c9]Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi:
Witchcraft: Efficient PGD Attacks with Random Step Size. ICASSP 2020: 3747-3751 - [c8]Amin Ghiasi, Ali Shafahi, Tom Goldstein:
Breaking Certified Defenses: Semantic Adversarial Examples with Spoofed robustness Certificates. ICLR 2020 - [c7]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. ICLR 2020 - [c6]Parsa Saadatpanah, Ali Shafahi, Tom Goldstein:
Adversarial Attacks on Copyright Detection Systems. ICML 2020: 8307-8315 - [i16]Amin Ghiasi, Ali Shafahi, Tom Goldstein:
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates. CoRR abs/2003.08937 (2020) - [i15]Zheng Xu, Ali Shafahi, Tom Goldstein:
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training. CoRR abs/2006.00387 (2020) - [i14]Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein:
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer. CoRR abs/2010.07334 (2020)
2010 – 2019
- 2019
- [c5]Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein:
Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC 2019: 72 - [c4]Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? ICLR (Poster) 2019 - [c3]Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial training for free! NeurIPS 2019: 3353-3364 - [i13]Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial Training for Free! CoRR abs/1904.12843 (2019) - [i12]Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. CoRR abs/1905.05897 (2019) - [i11]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. CoRR abs/1905.08232 (2019) - [i10]Parsa Saadatpanah, Ali Shafahi, Tom Goldstein:
Adversarial attacks on Copyright Detection Systems. CoRR abs/1906.07153 (2019) - [i9]Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein:
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? CoRR abs/1910.11585 (2019) - [i8]Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi:
WITCHcraft: Efficient PGD attacks with random step size. CoRR abs/1911.07989 (2019) - 2018
- [c2]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS 2018: 6106-6116 - [i7]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR abs/1804.00792 (2018) - [i6]Ali Shafahi, Zhongxiang Wang, Ali Haghani:
A matching-based heuristic algorithm for school bus routing problems. CoRR abs/1807.05311 (2018) - [i5]Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? CoRR abs/1809.02104 (2018) - [i4]Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. CoRR abs/1811.11304 (2018) - 2017
- [i3]Kiana Roshan Zamir, Ali Shafahi, Ali Haghani:
Understanding and Visualizing the District of Columbia Capital Bikeshare System Using Data Analysis for Balancing Purposes. CoRR abs/1708.04196 (2017) - [i2]Ali Shafahi, Zhongxiang Wang, Ali Haghani:
School bus routing by maximizing trip compatibility. CoRR abs/1711.00530 (2017) - [i1]Zhongxiang Wang, Ali Shafahi, Ali Haghani:
An iterative school decomposition algorithm for solving the multi-school bus routing and scheduling problem. CoRR abs/1711.00532 (2017) - 2016
- [j1]Hyoshin Park, Ali Shafahi, Ali Haghani:
A Stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways. IEEE Trans. Intell. Transp. Syst. 17(9): 2528-2540 (2016) - 2013
- [c1]Ali Shafahi, Ali Haghani:
A Linearization Approach for Project Selection with Interdependencies in Resource Costs . ICORES 2013: 230-235
Coauthor Index
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