Precise Tradeoffs in Adversarial Training for Linear Regression

24 February 2020

Papers citing "Precise Tradeoffs in Adversarial Training for Linear Regression"

33 / 83 papers shown

Title
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 175 46 0 29 Oct 2021
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff Adel Javanmard M. Mehrabi AAML 59 5 0 22 Oct 2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks Jannis Kurtz B. Bah MQ 34 4 0 21 Oct 2021
Interpolation can hurt robust generalization even when there is no noise Konstantin Donhauser Alexandru cTifrea Michael Aerni Reinhard Heckel Fanny Yang 86 16 0 05 Aug 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks Nezihe Merve Gürel Xiangyu Qi Luka Rimanic Ce Zhang Yue Liu AAML 67 39 0 11 Jun 2021
Statistical inference for generative adversarial networks and other minimax problems Mika Meitz GAN 65 5 0 21 Apr 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise Difan Zou Spencer Frei Quanquan Gu 58 13 0 19 Apr 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries A. Bhagoji Daniel Cullina Vikash Sehwag Prateek Mittal AAML OOD 73 3 0 16 Apr 2021
$Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model$ Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 62 8 0 05 Apr 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 80 4 0 29 Mar 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition Yaodong Yu Zitong Yang Yan Sun Jacob Steinhardt Yi-An Ma 64 17 0 17 Mar 2021
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 105 38 0 08 Mar 2021
Bridging the Gap Between Adversarial Robustness and Optimization Bias Fartash Faghri Sven Gowal C. N. Vasconcelos David J. Fleet Fabian Pedregosa Nicolas Le Roux AAML 234 7 0 17 Feb 2021
Fundamental Tradeoffs in Distributionally Adversarial Training M. Mehrabi Adel Javanmard Ryan A. Rossi Anup B. Rao Tung Mai AAML 55 18 0 15 Jan 2021
Adversarially Robust Estimate and Risk Analysis in Linear Regression Yue Xing Ruizhi Zhang Guang Cheng AAML 64 28 0 18 Dec 2020
Dimensionality reduction, regularization, and generalization in overparameterized regressions Ningyuan Huang D. Hogg Soledad Villar 86 15 0 23 Nov 2020
Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 93 19 0 21 Nov 2020
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View Christos Thrampoulidis Samet Oymak Mahdi Soltanolkotabi 73 43 0 16 Nov 2020
Robustifying Binary Classification to Adversarial Perturbation Fariborz Salehi B. Hassibi AAML 13 0 0 29 Oct 2020
Asymptotic Behavior of Adversarial Training in Binary Classification Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis AAML 88 16 0 26 Oct 2020
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 105 63 0 21 Oct 2020
On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 78 34 0 15 Aug 2020
Provable More Data Hurt in High Dimensional Least Squares Estimator Zeng Li Chuanlong Xie Qinwen Wang 74 6 0 14 Aug 2020
Multiple Descent: Design Your Own Generalization Curve Lin Chen Yifei Min M. Belkin Amin Karbasi DRL 162 61 0 03 Aug 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 71 45 0 29 Jun 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 107 56 0 09 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing Vishaal Krishnan Abed AlRahman Al Makdah Fabio Pasqualetti OOD AAML 66 23 0 05 Jun 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 122 151 0 20 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 100 43 0 20 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 126 176 0 23 Apr 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 103 69 0 25 Feb 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 117 148 0 13 Nov 2019