Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples A Athalye, N Carlini, D Wagner International Conference on Machine Learning, 274-283, 2018 | 2178 | 2018 |
Synthesizing Robust Adversarial Examples A Athalye, L Engstrom, A Ilyas, K Kwok International Conference on Machine Learning, 284-293, 2017 | 1170 | 2017 |
Black-box Adversarial Attacks with Limited Queries and Information A Ilyas, L Engstrom, A Athalye, J Lin International Conference on Machine Learning, 2137-2146, 2018 | 716 | 2018 |
On evaluating adversarial robustness N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ... arXiv preprint arXiv:1902.06705, 2019 | 531 | 2019 |
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses A Athalye, N Carlini arXiv preprint arXiv:1804.03286, 2018 | 138 | 2018 |
Pervasive label errors in test sets destabilize machine learning benchmarks CG Northcutt, A Athalye, J Mueller arXiv preprint arXiv:2103.14749, 2021 | 117 | 2021 |
Evaluating and Understanding the Robustness of Adversarial Logit Pairing L Engstrom, A Ilyas, A Athalye arXiv preprint arXiv:1807.10272, 2018 | 108 | 2018 |
pASSWORD tYPOS and How to Correct Them Securely R Chatterjee, A Athalye, D Akhawe, A Juels, T Ristenpart IEEE Symposium on Security and Privacy, 2016 | 46 | 2016 |
Notary: A Device for Secure Transaction Approval A Athalye, A Belay, MF Kaashoek, R Morris, N Zeldovich Proceedings of the 27th ACM Symposium on Operating Systems Principles, 97-113, 2019 | 15 | 2019 |
rtlv: push-button verification of software on hardware N Moroze, A Athalye, MF Kaashoek, N Zeldovich | | |