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Stability Analysis and Generalization Bounds of Adversarial Training

Stability Analysis and Generalization Bounds of Adversarial Training

3 October 2022
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Jue Wang
Zhimin Luo
    AAML
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Papers citing "Stability Analysis and Generalization Bounds of Adversarial Training"

24 / 24 papers shown
Title
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
Lijia Yu
Yibo Miao
Yifan Zhu
Xiao-Shan Gao
Lijun Zhang
48
0
0
06 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
29
0
0
01 Mar 2025
Stability and Generalization in Free Adversarial Training
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
44
2
0
08 Jan 2025
Exploring the Generalization Capabilities of AID-based Bi-level
  Optimization
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
C. L. Philip Chen
Li Shen
Zhiqiang Xu
W. Liu
Zhi-Quan Luo
Peilin Zhao
65
0
0
25 Nov 2024
Generalizability of Memorization Neural Networks
Generalizability of Memorization Neural Networks
Lijia Yu
Xiao-Shan Gao
Lijun Zhang
Yibo Miao
28
1
0
01 Nov 2024
Understanding Adversarially Robust Generalization via Weight-Curvature
  Index
Understanding Adversarially Robust Generalization via Weight-Curvature Index
Yuelin Xu
Xiao Zhang
AAML
25
0
0
10 Oct 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
32
5
0
02 Jun 2024
RoPINN: Region Optimized Physics-Informed Neural Networks
RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu
Huakun Luo
Yuezhou Ma
Jianmin Wang
Mingsheng Long
AI4CE
32
6
0
23 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
Uniformly Stable Algorithms for Adversarial Training and Beyond
Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
AAML
40
0
0
03 May 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
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
13
0
0
26 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training
Data-Dependent Stability Analysis of Adversarial Training
Yihan Wang
Shuang Liu
Xiao-Shan Gao
27
3
0
06 Jan 2024
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A Survey
Ou Wu
Rujing Yao
28
1
0
25 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust
  Generalization
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao
Ruoyu Sun
Zhimin Luo
AAML
30
6
0
09 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic
  Gradient Descent
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
20
3
0
18 Aug 2023
On Neural Network approximation of ideal adversarial attack and
  convergence of adversarial training
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Rajdeep Haldar
Qifan Song
AAML
23
0
0
30 Jul 2023
Adversarial Training with Generated Data in High-Dimensional Regression:
  An Asymptotic Study
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
Yue Xing
22
0
0
21 Jun 2023
Towards Understanding Clean Generalization and Robust Overfitting in
  Adversarial Training
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training
Binghui Li
Yuanzhi Li
AAML
22
3
0
02 Jun 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Anqi Mao
M. Mohri
Yutao Zhong
AAML
21
270
0
14 Apr 2023
Adversarial Rademacher Complexity of Deep Neural Networks
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Zhimin Luo
AAML
15
22
0
27 Nov 2022
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
24
79
0
12 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple
  Perturbations with Its Stability Analysis
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
Jiancong Xiao
Zeyu Qin
Yanbo Fan
Baoyuan Wu
Jue Wang
Zhimin Luo
AAML
20
7
0
02 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial
  Examples
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Jiancong Xiao
Liusha Yang
Yanbo Fan
Jue Wang
Zhimin Luo
OOD
18
13
0
02 Oct 2022
What is a Good Metric to Study Generalization of Minimax Learners?
What is a Good Metric to Study Generalization of Minimax Learners?
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
K. Zhang
11
13
0
09 Jun 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
1