Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.02484
Cited By
v1
v2
v3 (latest)
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Computer Vision and Pattern Recognition (CVPR), 2020
5 March 2020
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization"
50 / 77 papers shown
Parameter Interpolation Adversarial Training for Robust Image Classification
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Xin Liu
Yichen Yang
Kun He
John E. Hopcroft
AAML
177
9
0
02 Nov 2025
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh
Sonal Kumar
Arijit Sur
AAML
182
1
0
31 Oct 2025
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Haneen Najjar
Eyal Ronen
Mahmood Sharif
AAML
192
0
0
16 Sep 2025
Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness
Tianyu Qi
Lei Xue
Yufeng Zhan
Xiaobo Ma
AAML
469
0
0
04 Jun 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
MingWei Zhou
Xiaobing Pei
AAML
928
0
0
30 Mar 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
International Conference on Learning Representations (ICLR), 2025
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
566
4
0
22 Jan 2025
Central limit theorems for vector-valued composite functionals with smoothing and applications
Annals of the Institute of Statistical Mathematics (AISM), 2024
Huhui Chen
Darinka Dentcheva
Yang Lin
Gregory J. Stock
378
5
0
26 Dec 2024
Revisiting Adversarial Training under Long-Tailed Distributions
Computer Vision and Pattern Recognition (CVPR), 2024
Xinli Yue
Ningping Mou
Qian Wang
Lingchen Zhao
AAML
290
20
0
15 Mar 2024
The Effectiveness of Random Forgetting for Robust Generalization
V. Ramkumar
Bahram Zonooz
Elahe Arani
AAML
253
3
0
18 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
301
5
0
26 Jan 2024
DAFA: Distance-Aware Fair Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Hyungyu Lee
Saehyung Lee
Hyemi Jang
Junsung Park
Ho Bae
Sungroh Yoon
266
12
0
23 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting
International Conference on Learning Representations (ICLR), 2024
Elias Abad Rocamora
Fanghui Liu
Grigorios G. Chrysos
Pablo M. Olmos
Volkan Cevher
AAML
239
8
0
21 Jan 2024
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
349
28
0
13 Dec 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
Jianshu Li
Jindong Gu
Yang Bai
Xiaochun Cao
AAML
261
14
0
24 Oct 2023
Splitting the Difference on Adversarial Training
USENIX Security Symposium (USENIX Security), 2023
Matan Levi
A. Kontorovich
260
9
0
03 Oct 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
Yunuo Xiong
Shujuan Liu
H. Xiong
AAML
150
0
0
03 Sep 2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sihan Song
Jian Zhao
Jian Zhao
231
6
0
11 Jul 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
International Conference on Learning Representations (ICLR), 2023
Avi Schwarzschild
Fabian Latorre
George J. Pappas
Hamed Hassani
Volkan Cevher
AAML
385
15
0
19 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xingxing Wei
Shiji Zhao
Bo li
AAML
481
8
0
06 Jun 2023
Infinite Class Mixup
British Machine Vision Conference (BMVC), 2023
Thomas Mensink
Pascal Mettes
335
3
0
17 May 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
International Conference on Machine Learning (ICML), 2023
Anqi Mao
M. Mohri
Yutao Zhong
AAML
339
734
0
14 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang Liu
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
306
52
0
01 Apr 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
Neural Networks (Neural Netw.), 2023
Soyoun Won
Sung-Ho Bae
Seong Tae Kim
263
2
0
26 Mar 2023
Generalist: Decoupling Natural and Robust Generalization
Computer Vision and Pattern Recognition (CVPR), 2023
Hongjun Wang
Yisen Wang
OOD
AAML
329
21
0
24 Mar 2023
Randomized Adversarial Training via Taylor Expansion
Computer Vision and Pattern Recognition (CVPR), 2023
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
344
57
0
19 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
404
16
0
17 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
International Conference on Machine Learning (ICML), 2023
Amine Bennouna
Ryan Lucas
Bart P. G. Van Parys
292
14
0
03 Mar 2023
Delving into the Adversarial Robustness of Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jie M. Zhang
Yue Liu
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
267
62
0
19 Feb 2023
Masking and Mixing Adversarial Training
VISIGRAPP (VISIGRAPP), 2023
Hiroki Adachi
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Yasunori Ishii
Kazuki Kozuka
AAML
121
1
0
16 Feb 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
311
2
0
03 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Muzammal Naseer
Salman Khan
Fatih Porikli
Fahad Shahbaz Khan
AAML
196
1
0
30 Dec 2022
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Yingtian Zou
Vikas Verma
Sarthak Mittal
Wai Hoh Tang
Hieu H. Pham
Arno Solin
Yoshua Bengio
Arno Solin
Kenji Kawaguchi
UQCV
591
11
0
27 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
ACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
344
59
0
21 Dec 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OOD
MedIm
231
7
0
30 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
362
31
0
17 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Saehyung Lee
Hyungyu Lee
AAML
197
2
0
27 Sep 2022
A Light Recipe to Train Robust Vision Transformers
Edoardo Debenedetti
Vikash Sehwag
Prateek Mittal
ViT
308
90
0
15 Sep 2022
Robust Trajectory Prediction against Adversarial Attacks
Conference on Robot Learning (CoRL), 2022
Yulong Cao
Danfei Xu
Xinshuo Weng
Zhuoqing Mao
Anima Anandkumar
Chaowei Xiao
Marco Pavone
AAML
229
43
0
29 Jul 2022
Understanding Robust Overfitting of Adversarial Training and Beyond
International Conference on Machine Learning (ICML), 2022
Chaojian Yu
Bo Han
Li Shen
Jun Yu
Chen Gong
Biwei Huang
Tongliang Liu
OOD
257
76
0
17 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training
Machine-mediated learning (ML), 2022
Xiaowei Zhou
Ivor W. Tsang
Jie Yin
AAML
160
11
0
08 Jun 2022
Robust Weight Perturbation for Adversarial Training
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Chaojian Yu
Bo Han
Biwei Huang
Li Shen
Shiming Ge
Bo Du
Tongliang Liu
AAML
258
43
0
30 May 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
251
3
0
16 May 2022
A Mask-Based Adversarial Defense Scheme
Weizhen Xu
Chenyi Zhang
Fangzhen Zhao
Liangda Fang
AAML
233
4
0
21 Apr 2022
Investigating Top-
k
k
k
White-Box and Transferable Black-box Attack
Computer Vision and Pattern Recognition (CVPR), 2022
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
253
56
0
30 Mar 2022
On Adversarial Robustness of Large-scale Audio Visual Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Juncheng Billy Li
Shuhui Qu
Xinjian Li
Po-Yao (Bernie) Huang
Florian Metze
AAML
232
9
0
23 Mar 2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
Findings (Findings), 2022
Aaron Reich
Jiaao Chen
Aastha Agrawal
Yanzhe Zhang
Diyi Yang
AAML
247
6
0
21 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Computer Vision and Pattern Recognition (CVPR), 2022
Yang Liu
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
208
178
0
13 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Computer Vision and Pattern Recognition (CVPR), 2022
Gao Jin
Xinping Yi
Wei Huang
S. Schewe
Xiaowei Huang
AAML
298
60
0
11 Mar 2022
Why adversarial training can hurt robust accuracy
International Conference on Learning Representations (ICLR), 2022
Jacob Clarysse
Julia Hörrmann
Fanny Yang
AAML
274
22
0
03 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
International Conference on Learning Representations (ICLR), 2022
Tianlong Chen
Zhenyu Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zinan Lin
OOD
AAML
382
54
0
20 Feb 2022
1
2
Next
Page 1 of 2
