Aleksander Mądry

Towards Deep Learning Models Resistant to Adversarial Attacks

Aleksander Mądry, Aleksandar Makelov, Ludwig Schmidt et al. · arXiv (Cornell University) · 2017 · 1.5K citations · Full text

Deep Neural Networks, Engineering, Machine Learning +13

On Evaluating Adversarial Robustness

Nicholas Carlini, Anish Athalye, Nicolas Papernot et al. · arXiv (Cornell University) · 2019 · 580 citations · Full text

Evaluating Adversarial Robustness, Engineering, Machine Learning +21

Adversarial Examples Are Not Bugs, They Are Features

Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras et al. · arXiv (Cornell University) · 2019 · 395 citations · Full text

Artificial Intelligence, Adversarial Examples, Trustworthy Ai +14

Robustness May Be at Odds with Accuracy

Dimitris Tsipras, Shibani Santurkar, Logan Engstrom et al. · arXiv (Cornell University) · 2018 · 371 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Adversarially Robust Generalization Requires More Data

Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras et al. · arXiv (Cornell University) · 2018 · 359 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +12