Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1810.11914
Cited By
Rademacher Complexity for Adversarially Robust Generalization
29 October 2018
Dong Yin
Kannan Ramchandran
Peter L. Bartlett
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Rademacher Complexity for Adversarially Robust Generalization"
12 / 62 papers shown
Title
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
33
397
0
26 Feb 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Yifei Min
Lin Chen
Amin Karbasi
AAML
37
69
0
25 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
Chengyue Gong
Tongzheng Ren
Mao Ye
Qiang Liu
AAML
27
56
0
20 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
OOD
AAML
27
114
0
17 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
38
64
0
11 Feb 2020
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
Colin Wei
Tengyu Ma
AAML
OOD
36
85
0
09 Oct 2019
Adversarial Training Can Hurt Generalization
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
13
240
0
14 Jun 2019
Lower Bounds for Adversarially Robust PAC Learning
Dimitrios I. Diochnos
Saeed Mahloujifar
Mohammad Mahmoody
AAML
27
26
0
13 Jun 2019
Adversarially Robust Learning Could Leverage Computational Hardness
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
AAML
20
24
0
28 May 2019
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers
Hui Xie
Jirong Yi
Weiyu Xu
R. Mudumbai
AAML
21
3
0
27 Jan 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu
Jingwei Zhang
Dacheng Tao
AAML
15
68
0
13 Nov 2018
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
65
230
0
25 May 2018
Previous
1
2