Anish Athalye
Cited by
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
A Athalye, N Carlini, D Wagner
35th International Conference on Machine Learning, 274-283, 2018
Synthesizing Robust Adversarial Examples
A Athalye, L Engstrom, A Ilyas, K Kwok
35th International Conference on Machine Learning, 284-293, 2017
Black-box Adversarial Attacks with Limited Queries and Information
A Ilyas, L Engstrom, A Athalye, J Lin
35th International Conference on Machine Learning, 2137-2146, 2018
On evaluating adversarial robustness
N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ...
arXiv preprint arXiv:1902.06705, 2019
Pervasive label errors in test sets destabilize machine learning benchmarks
CG Northcutt, A Athalye, J Mueller
35th Conference on Neural Information Processing Systems Track on Datasets …, 2021
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
A Athalye, N Carlini
The Bright and Dark Sides of Computer Vision: Challenges and Opportunities …, 2018
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
L Engstrom, A Ilyas, A Athalye
NeurIPS 2018 Workshop on Security in Machine Learning, 2018
pASSWORD tYPOS and How to Correct Them Securely
R Chatterjee, A Athalye, D Akhawe, A Juels, T Ristenpart
37th IEEE Symposium on Security and Privacy, 2016
Notary: A Device for Secure Transaction Approval
A Athalye, A Belay, MF Kaashoek, R Morris, N Zeldovich
27th ACM Symposium on Operating Systems Principles, 97-113, 2019
Verifying Hardware Security Modules with Information-Preserving Refinement
A Athalye, MF Kaashoek, N Zeldovich
16th USENIX Symposium on Operating Systems Design and Implementation, 503-519, 2022
rtlv: push-button verification of software on hardware
N Moroze, A Athalye, MF Kaashoek, N Zeldovich
5th Workshop on Computer Architecture Research with RISC-V, 0
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