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2011.11164
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Learnable Boundary Guided Adversarial Training
IEEE International Conference on Computer Vision (ICCV), 2020
23 November 2020
Jiequan Cui
Shu Liu
Liwei Wang
Jiaya Jia
OOD
AAML
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Papers citing
"Learnable Boundary Guided Adversarial Training"
50 / 93 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
200
11
0
02 Nov 2025
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yousef Yeganeh
Maximilian Frantzen
Michael Lee
Kun-Hsing Yu
Nassir Navab
Azade Farshad
OOD
195
0
0
06 Oct 2025
Dynamic Dual-level Defense Routing for Continual Adversarial Training
Wenxuan Wang
Chenglei Wang
Xuelin Qian
AAML
153
0
0
24 Sep 2025
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
Zhenyu Liu
H. Liang
Xinrun Li
V. Snás̃el
Varun Ojha
AAML
174
0
0
24 Aug 2025
ProARD: progressive adversarial robustness distillation: provide wide range of robust students
Seyedhamidreza Mousavi
Seyedali Mousavi
Masoud Daneshtalab
AAML
333
0
0
09 Jun 2025
D2R: dual regularization loss with collaborative adversarial generation for model robustness
International Conference on Artificial Neural Networks (ICANN), 2025
Zhenyu Liu
H. Liang
R. Ranjan
Zhanxing Zhu
V. Snás̃el
Varun Ojha
168
2
0
08 Jun 2025
Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation
Peiran Sun
AAML
361
0
0
25 May 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
MingWei Zhou
Xiaobing Pei
AAML
956
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
576
6
0
22 Jan 2025
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
342
13
0
19 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
Kangtao Lv
Huangsen Cao
Kainan Tu
Yihuai Xu
Zhimeng Zhang
Xin Ding
Yongwei Wang
MoMe
AAML
VLM
249
4
0
08 Oct 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Chengze Jiang
Junkai Wang
Minjing Dong
Jie Gui
Xinli Shi
Yuan Cao
Yuan Yan Tang
James Tin-Yau Kwok
441
11
0
26 Sep 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
Zhenyu Liu
Haoran Duan
Huizhi Liang
Yang Long
V. Snás̃el
G. Nicosia
R. Ranjan
Varun Ojha
AAML
218
3
0
23 Aug 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Shaozi Li
Shaozi Li
AAML
617
2
0
04 Jul 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Shaozi Li
AAML
291
1
0
17 Jun 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
International Conference on Machine Learning (ICML), 2024
Ziquan Liu
Yufei Cui
Yan Yan
Yi Tian Xu
Xiangyang Ji
Xue Liu
Antoni B. Chan
AAML
352
9
0
14 May 2024
On adversarial training and the 1 Nearest Neighbor classifier
Amir Hagai
Yair Weiss
AAML
396
0
0
09 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
299
4
0
30 Mar 2024
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
Shuai Li
Xiaoguang Ma
Shancheng Jiang
Lu Meng
AAML
OOD
268
0
0
11 Mar 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
L. Fenaux
Florian Kerschbaum
AAML
384
0
0
22 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
578
4
0
22 Feb 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yuansan Liu
Ruqing Zhang
Mingkun Zhang
Wei Chen
Maarten de Rijke
Jiafeng Guo
Xueqi Cheng
AAML
214
17
0
16 Dec 2023
Topology-Preserving Adversarial Training
Xiaoyue Mi
Fan Tang
Yepeng Weng
Danding Wang
Juan Cao
Sheng Tang
Peng Li
Yang Liu
343
1
0
29 Nov 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
264
14
0
24 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Xu Yuan
Zheng Zhang
Xunguang Wang
Lin Wu
AAML
361
25
0
23 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
International Conference on Learning Representations (ICLR), 2023
Yue Cao
Tianlin Li
Xiaofeng Cao
Ivor Tsang
Yang Liu
Qing Guo
AAML
313
4
0
18 Oct 2023
Splitting the Difference on Adversarial Training
USENIX Security Symposium (USENIX Security), 2023
Matan Levi
A. Kontorovich
269
9
0
03 Oct 2023
Exploring Robust Features for Improving Adversarial Robustness
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Hong Wang
Yuefan Deng
Shinjae Yoo
Lu Ma
AAML
396
6
0
09 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
IEEE International Conference on Computer Vision (ICCV), 2023
Satoshi Suzuki
Shin'ya Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
324
8
0
31 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
YueFeng Chen
Xiaofeng Mao
Ranjie Duan
Jindong Gu
Rong Zhang
H. Xue
Xiaochun Cao
AAML
296
16
0
22 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
IEEE International Conference on Computer Vision (ICCV), 2023
Qidong Huang
Xiaoyi Dong
DongDong Chen
Yinpeng Chen
Lu Yuan
Gang Hua
Weiming Zhang
Neng H. Yu
AAML
333
15
0
20 Aug 2023
Towards Building More Robust Models with Frequency Bias
IEEE International Conference on Computer Vision (ICCV), 2023
Qingwen Bu
Dong Huang
Heming Cui
AAML
313
20
0
19 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction
He Wang
Yunfeng Diao
AAML
549
1
0
29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Network and Distributed System Security Symposium (NDSS), 2023
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
322
1
0
29 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline
Hong Liu
AAML
282
0
0
13 Jun 2023
Decoupled Kullback-Leibler Divergence Loss
Neural Information Processing Systems (NeurIPS), 2023
Jiequan Cui
Zhuotao Tian
Zhisheng Zhong
Xiaojuan Qi
Bei Yu
Hanwang Zhang
380
93
0
23 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training
International Conference on Learning Representations (ICLR), 2023
Yuehua Wu
Hung-Jui Wang
Shang-Tse Chen
AAML
353
8
0
20 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
IEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
448
129
0
18 May 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma
A. Subramanyam
Siddhesh Bangar
Naman Lal
R. Shah
Shiníchi Satoh
352
10
0
13 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness
Junyi Chai
Xiaoqian Wang
295
3
0
31 Mar 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
Wei Wei
Jiahuan Zhou
Yingying Wu
AAML
170
0
0
29 Mar 2023
CAT:Collaborative Adversarial Training
Xingbin Liu
Huafeng Kuang
Xianming Lin
Yongjian Wu
Rongrong Ji
AAML
159
5
0
27 Mar 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Kun He
Xin Liu
Yichen Yang
Zhou Qin
Weigao Wen
Hui Xue
John E. Hopcroft
AAML
212
0
0
24 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness
Computer Vision and Pattern Recognition (CVPR), 2023
Woo Jae Kim
Y. Cho
Junsik Jung
Sung-eui Yoon
AAML
395
39
0
24 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense
Asian Conference on Computer Vision (ACCV), 2023
B. Le
Shahroz Tariq
Simon S. Woo
AAML
194
0
0
21 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
355
59
0
19 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
278
62
0
19 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2023
Yuancheng Xu
Yanchao Sun
Micah Goldblum
Tom Goldstein
Furong Huang
AAML
415
53
0
06 Feb 2023
Beckman Defense
A. V. Subramanyam
OOD
AAML
463
0
0
04 Jan 2023
DISCO: Adversarial Defense with Local Implicit Functions
Neural Information Processing Systems (NeurIPS), 2022
Chih-Hui Ho
Nuno Vasconcelos
AAML
479
57
0
11 Dec 2022
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