Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.00467
Cited By
Bag of Tricks for Adversarial Training
1 October 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bag of Tricks for Adversarial Training"
19 / 69 papers shown
Title
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
27
21
0
17 Jun 2021
Sparta: Spatially Attentive and Adversarially Robust Activation
Qing Guo
Felix Juefei Xu
Changqing Zhou
Wei Feng
Yang Liu
Song Wang
AAML
33
4
0
18 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
Jun-Ho Choi
Huan Zhang
Jun-Hyuk Kim
Cho-Jui Hsieh
Jong-Seok Lee
VLM
27
7
0
30 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
33
44
0
19 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
32
65
0
09 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
21
76
0
06 Apr 2021
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
33
137
0
29 Mar 2021
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
41
57
0
08 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Lee Wang
Yanghao Zhang
Yanbin Zheng
Wenjie Ruan
28
1
0
04 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
Guided Interpolation for Adversarial Training
Chen Chen
Jingfeng Zhang
Xilie Xu
Tianlei Hu
Gang Niu
Gang Chen
Masashi Sugiyama
AAML
30
10
0
15 Feb 2021
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
234
678
0
19 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
17
324
0
07 Oct 2020
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
On Adversarial Robustness: A Neural Architecture Search perspective
Chaitanya Devaguptapu
Devansh Agarwal
Gaurav Mittal
Pulkit Gopalani
V. Balasubramanian
OOD
AAML
12
33
0
16 Jul 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
161
113
0
05 Mar 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
134
103
0
17 Oct 2019
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
Previous
1
2