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2010.00467
Cited By
Bag of Tricks for Adversarial Training
1 October 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
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Papers citing
"Bag of Tricks for Adversarial Training"
49 / 49 papers shown
Title
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models
X. Jia
Sensen Gao
Simeng Qin
Ke Ma
X. Li
Yihao Huang
Wei Dong
Yang Liu
Xiaochun Cao
AAML
VLM
58
0
0
17 Mar 2025
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
118
0
0
09 Mar 2025
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge
Hyejin Park
Dongbo Min
AAML
26
2
0
03 Sep 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
32
3
0
29 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
48
2
0
06 Dec 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training
Rui Xu
Wenkang Qin
Peixiang Huang
Hao Wang
Lin Luo
FAtt
AAML
17
2
0
09 Nov 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
21
11
0
30 Oct 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
34
4
0
27 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
30
48
0
18 May 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
Wei Wei
Jiahuan Zhou
Yingying Wu
AAML
11
0
0
29 Mar 2023
CAT:Collaborative Adversarial Training
Xingbin Liu
Huafeng Kuang
Xianming Lin
Yongjian Wu
Rongrong Ji
AAML
10
4
0
27 Mar 2023
Randomized Adversarial Training via Taylor Expansion
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
25
34
0
19 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
X. Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
15
72
0
28 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min-Bin Lin
Weiwei Liu
Shuicheng Yan
DiffM
14
207
0
09 Feb 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
Mohammad Azizmalayeri
Arman Zarei
Alireza Isavand
M. T. Manzuri
M. Rohban
OODD
27
0
0
25 Jan 2023
Scaling Adversarial Training to Large Perturbation Bounds
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
19
22
0
18 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
ViT
27
52
0
14 Oct 2022
Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim
Charles Guille-Escuret
Ioannis Mitliagkas
Irina Rish
David M. Krueger
P. Bashivan
OOD
23
6
0
06 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
Saehyung Lee
Hyungyu Lee
AAML
22
2
0
27 Sep 2022
Bag of Tricks for FGSM Adversarial Training
Zichao Li
Li Liu
Zeyu Wang
Yuyin Zhou
Cihang Xie
AAML
14
6
0
06 Sep 2022
Building Robust Ensembles via Margin Boosting
Dinghuai Zhang
Hongyang R. Zhang
Aaron Courville
Yoshua Bengio
Pradeep Ravikumar
A. Suggala
AAML
UQCV
27
15
0
07 Jun 2022
Case-Aware Adversarial Training
Mingyuan Fan
Yang Liu
Ximeng Liu
AAML
14
1
0
20 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
Mathias Lechner
Alexander Amini
Daniela Rus
T. Henzinger
AAML
16
9
0
15 Apr 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Gao Jin
Xinping Yi
Wei Huang
S. Schewe
Xiaowei Huang
AAML
10
46
0
11 Mar 2022
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Xiaogeng Liu
Haoyu Wang
Yechao Zhang
Fangzhou Wu
Shengshan Hu
OOD
25
11
0
08 Mar 2022
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
9
12
0
01 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
18
42
0
27 Feb 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
27
22
0
22 Feb 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
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
30
1
0
29 Jan 2022
Can Model Compression Improve NLP Fairness
Guangxuan Xu
Qingyuan Hu
23
26
0
21 Jan 2022
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
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
19
26
0
03 Nov 2021
Parameterizing Activation Functions for Adversarial Robustness
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
AAML
26
32
0
11 Oct 2021
Adversarial Token Attacks on Vision Transformers
Ameya Joshi
Gauri Jagatap
C. Hegde
ViT
22
19
0
08 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
106
66
0
10 Sep 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
19
7
0
30 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
22
65
0
09 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
13
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
18
137
0
29 Mar 2021
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
S. Hwang
Jinwoo Shin
AAML
25
57
0
08 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Lee Wang
Yanghao Zhang
Yanbin Zheng
Wenjie Ruan
20
1
0
04 Mar 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
Sahil Singla
David Jacobs
S. Feizi
AAML
22
45
0
15 Feb 2021
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
17
323
0
07 Oct 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
151
113
0
05 Mar 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
124
102
0
17 Oct 2019
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
263
10,196
0
16 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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