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2003.02484
Cited By
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
5 March 2020
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
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Papers citing
"Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization"
29 / 29 papers shown
Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
MingWei Zhou
Xiaobing Pei
AAML
144
0
0
30 Mar 2025
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
31
2
0
26 Jan 2024
Infinite Class Mixup
Thomas Mensink
Pascal Mettes
24
2
0
17 May 2023
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
46
14
0
24 Mar 2023
Randomized Adversarial Training via Taylor Expansion
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
36
34
0
19 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna
Ryan Lucas
Bart P. G. Van Parys
32
10
0
03 Mar 2023
Delving into the Adversarial Robustness of Federated Learning
Jie M. Zhang
Bo-wen Li
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
35
34
0
19 Feb 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
39
2
0
03 Jan 2023
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
Saehyung Lee
Hyungyu Lee
AAML
24
2
0
27 Sep 2022
A Light Recipe to Train Robust Vision Transformers
Edoardo Debenedetti
Vikash Sehwag
Prateek Mittal
ViT
26
68
0
15 Sep 2022
Robust Representation via Dynamic Feature Aggregation
Haozhe Liu
Haoqin Ji
Yuexiang Li
Nanjun He
Haoqian Wu
Feng Liu
Linlin Shen
Yefeng Zheng
AAML
OOD
27
3
0
16 May 2022
A Mask-Based Adversarial Defense Scheme
Weizhen Xu
Chenyi Zhang
Fangzhen Zhao
Liangda Fang
AAML
24
3
0
21 Apr 2022
Investigating Top-
k
k
k
White-Box and Transferable Black-box Attack
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
31
42
0
30 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Xiaojun Jia
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
47
131
0
13 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Gao Jin
Xinping Yi
Wei Huang
S. Schewe
Xiaowei Huang
AAML
17
47
0
11 Mar 2022
Why adversarial training can hurt robust accuracy
Jacob Clarysse
Julia Hörrmann
Fanny Yang
AAML
13
18
0
03 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
S. Feizi
Ramalingam Chellappa
AAML
29
12
0
12 Dec 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
24
26
0
03 Nov 2021
Regional Adversarial Training for Better Robust Generalization
Chuanbiao Song
Yanbo Fan
Yichen Yang
Baoyuan Wu
Yiming Li
Zhifeng Li
Kun He
AAML
OOD
11
6
0
02 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
167
14
0
14 Jul 2021
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
30
78
0
13 Jun 2021
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
18
76
0
06 Apr 2021
Adversarially Optimized Mixup for Robust Classification
Jason Bunk
Srinjoy Chattopadhyay
B. S. Manjunath
S. Chandrasekaran
AAML
24
8
0
22 Mar 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
Sahil Singla
David Jacobs
S. Feizi
AAML
32
45
0
15 Feb 2021
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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