Over-parameterized Adversarial Training: An Analysis Overcoming the
Curse of Dimensionality

Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality

16 February 2020

Orestis Plevrakis

Papers citing "Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality"

18 / 18 papers shown

Title
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 26 0 0 26 Jan 2024
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
How to Protect Copyright Data in Optimization of Large Language Models? T. Chu Zhao Song Chiwun Yang 40 29 0 23 Aug 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification Lianke Qin Zhao Song Yuanyuan Yang 25 9 0 13 Jul 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing Josh Alman Jiehao Liang Zhao Song Ruizhe Zhang Danyang Zhuo 77 31 0 25 Nov 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher 39 19 0 15 Sep 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim Junghoon Seo AAML 22 0 0 21 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 23 1 0 14 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen Yuan Cao Quanquan Gu AAML SILM 34 10 0 31 Dec 2021
Provable Regret Bounds for Deep Online Learning and Control Xinyi Chen Edgar Minasyan Jason D. Lee Elad Hazan 36 6 0 15 Oct 2021
Does Preprocessing Help Training Over-parameterized Neural Networks? Zhao Song Shuo Yang Ruizhe Zhang 38 49 0 09 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 31 236 0 01 Aug 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis Baihe Huang Xiaoxiao Li Zhao Song Xin Yang FedML 31 16 0 11 May 2021
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 27 1 0 14 Dec 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
Training (Overparametrized) Neural Networks in Near-Linear Time Jan van den Brand Binghui Peng Zhao Song Omri Weinstein ODL 29 82 0 20 Jun 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 37 147 0 20 May 2020