Adversarially Robust Low Dimensional Representations

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Adversarially Robust Low Dimensional Representations

29 November 2019

Pranjal Awasthi

Vaggos Chatziafratis

Aravindan Vijayaraghavan

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Papers citing "Adversarially Robust Low Dimensional Representations"

18 / 18 papers shown

Title
On Robustness to Adversarial Examples and Polynomial Optimization Pranjal Awasthi Abhratanu Dutta Aravindan Vijayaraghavan OOD AAML 54 32 0 12 Nov 2019
VC Classes are Adversarially Robustly Learnable, but Only Improperly Omar Montasser Steve Hanneke Nathan Srebro 43 141 0 12 Feb 2019
A Spectral View of Adversarially Robust Features Shivam Garg Vatsal Sharan B. Zhang Gregory Valiant AAML 144 21 0 15 Nov 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 106 1,782 0 30 May 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 124 233 0 25 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 152 795 0 30 Apr 2018
Efficient Algorithms for Outlier-Robust Regression Adam R. Klivans Pravesh Kothari Raghu Meka AAML 51 157 0 08 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 69 289 0 07 Mar 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 71 222 0 19 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 684 0 17 Feb 2018
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices Cameron Musco David P. Woodruff 55 58 0 11 Apr 2017
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 313 481 0 09 Aug 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,961 1 21 Dec 2013
Sparse PCA: Optimal rates and adaptive estimation Tommaso Cai Zongming Ma Yihong Wu 152 327 0 06 Nov 2012
Sparse principal component analysis and iterative thresholding Zongming Ma 147 333 0 12 Dec 2011
Polynomial Learning of Distribution Families M. Belkin Kaushik Sinha 391 226 0 27 Apr 2010
Settling the Polynomial Learnability of Mixtures of Gaussians Ankur Moitra Gregory Valiant 244 343 0 23 Apr 2010
High-dimensional analysis of semidefinite relaxations for sparse principal components Arash A. Amini Martin J. Wainwright 159 314 0 27 Mar 2008

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