More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models

11 February 2020

Papers citing "More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models"

43 / 43 papers shown

Title
Investigating the Impact of Model Complexity in Large Language Models Jing Luo Huiyuan Wang Weiran Huang 34 0 0 01 Oct 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 28 1 0 22 Jul 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 5 0 19 Feb 2024
$Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation$ Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$ -Perturbation Yiling Xie Xiaoming Huo 36 2 0 27 Jan 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 15 0 0 26 Jan 2024
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 18 6 0 13 Sep 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 9 1 0 08 Aug 2023
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study Yue Xing 22 0 0 21 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 66 12 0 19 Jun 2023
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation Shuyu Miao Lin Zheng J. Liu and Hong Jin 25 5 0 17 Apr 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning Ruitu Xu Yifei Min Tianhao Wang Zhaoran Wang Michael I. Jordan Zhuoran Yang 28 6 0 24 Feb 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 50 0 24 Jan 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu Fan Wu Hongyang R. Zhang Hang Zhao 31 8 0 28 Nov 2022
Formulating Robustness Against Unforeseen Attacks Sihui Dai Saeed Mahloujifar Prateek Mittal OOD AAML 16 8 0 28 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 47 71 0 26 Mar 2022
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning Yingjie Fei Ruitu Xu 27 5 0 07 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 11 18 0 03 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen Yuan Cao Quanquan Gu AAML SILM 26 10 0 31 Dec 2021
Towards Understanding the Impact of Model Size on Differential Private Classification Yinchen Shen Zhiguo Wang Ruoyu Sun Xiaojing Shen 14 11 0 27 Nov 2021
Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation Haotian Gu Xin Guo Xinyu Li 15 1 0 17 May 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 40 96 0 15 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 14 8 0 05 Apr 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 30 33 0 12 Mar 2021
Shift Invariance Can Reduce Adversarial Robustness Songwei Ge Vasu Singla Ronen Basri David Jacobs AAML OOD 15 26 0 03 Mar 2021
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 11 50 0 20 Dec 2020
Asymptotic Behavior of Adversarial Training in Binary Classification Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis AAML 21 16 0 26 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie-jin Yang AAML 28 8 0 23 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 21 48 0 19 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li R. L. Jin 21 16 0 03 Oct 2020
On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 17 32 0 15 Aug 2020
Provable More Data Hurt in High Dimensional Least Squares Estimator Zeng Li Chuanlong Xie Qinwen Wang 13 6 0 14 Aug 2020
Multiple Descent: Design Your Own Generalization Curve Lin Chen Yifei Min M. Belkin Amin Karbasi DRL 18 61 0 03 Aug 2020
Provable tradeoffs in adversarially robust classification Edgar Dobriban Hamed Hassani David Hong Alexander Robey 23 52 0 09 Jun 2020
Trade-offs between membership privacy & adversarially robust learning Jamie Hayes SILM 20 3 0 08 Jun 2020
Unique properties of adversarially trained linear classifiers on Gaussian data Jamie Hayes AAML 42 0 0 06 Jun 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 18 12 0 30 Mar 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 26 69 0 25 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 22 222 0 25 Feb 2020
Lower Bounds for Adversarially Robust PAC Learning Dimitrios I. Diochnos Saeed Mahloujifar Mohammad Mahmoody AAML 11 26 0 13 Jun 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 19 17 0 04 Oct 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 62 230 0 25 May 2018