Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification

29 June 2020

Papers citing "Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification"

10 / 10 papers shown

Title
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 82 228 0 25 Feb 2020
On Robustness to Adversarial Examples and Polynomial Optimization Pranjal Awasthi Abhratanu Dutta Aravindan Vijayaraghavan OOD AAML 49 31 0 12 Nov 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 58 92 0 26 Sep 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 119 751 0 31 May 2019
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 93 1,776 0 30 May 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 89 230 0 25 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 127 789 0 30 Apr 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 89 691 0 25 Apr 2018
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 229 14,893 1 21 Dec 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation Martin Azizyan Aarti Singh Larry A. Wasserman 68 64 0 09 Jun 2013