Athalye, Anish
Massachusetts Institute of Technology
3 papers on CoChatORCID 0000-0001-9355-6857
Most cited papers
- Verified
Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples
Athalye, A., Carlini, N., & Wagner, D. (2018) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2,172
- Verified
Black-box Adversarial Attacks with Limited Queries and Information
Ilyas, A., Engstrom, L., Athalye, A., & Lin, J. (2018) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 806
- Verified
Pervasive label errors in test sets destabilize machine learning benchmarks
Northcutt, C. G., Athalye, A., & Mueller, J. (2021) · arXiv
Machine Learning and Data ClassificationAdversarial Robustness in Machine Learning
Cited by 293
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