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Aleksander Madry
Researcher at Massachusetts Institute of Technology
Publications - 111
Citations - 10528
Aleksander Madry is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Robustness (computer science) & Computer science. The author has an hindex of 43, co-authored 94 publications receiving 7299 citations. Previous affiliations of Aleksander Madry include Microsoft & École Polytechnique Fédérale de Lausanne.
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Proceedings Article
Robustness May Be at Odds with Accuracy
TL;DR: It is shown that there may exist an inherent tension between the goal of adversarial robustness and that of standard generalization, and it is argued that this phenomenon is a consequence of robust classifiers learning fundamentally different feature representations than standard classifiers.
Proceedings Article
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas,Shibani Santurkar,Dimitris Tsipras,Logan Engstrom,Brandon Tran,Aleksander Madry +5 more
TL;DR: It is demonstrated that adversarial examples can be directly attributed to the presence of non-robust features: features derived from patterns in the data distribution that are highly predictive, yet brittle and incomprehensible to humans.
Posted Content
On Evaluating Adversarial Robustness
Nicholas Carlini,Anish Athalye,Nicolas Papernot,Wieland Brendel,Jonas Rauber,Dimitris Tsipras,Ian Goodfellow,Aleksander Madry,Alexey Kurakin +8 more
TL;DR: The methodological foundations are discussed, commonly accepted best practices are reviewed, and new methods for evaluating defenses to adversarial examples are suggested.
Proceedings Article
Adversarially Robust Generalization Requires More Data
TL;DR: In this paper, the authors study adversarially robust learning from the viewpoint of generalization and show that the sample complexity of robust learning can be significantly larger than that of "standard" learning.