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2106.05036
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Towards Defending against Adversarial Examples via Attack-Invariant Features
International Conference on Machine Learning (ICML), 2021
9 June 2021
Dawei Zhou
Tongliang Liu
Bo Han
N. Wang
Chunlei Peng
Xinbo Gao
AAML
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Papers citing
"Towards Defending against Adversarial Examples via Attack-Invariant Features"
22 / 22 papers shown
Robustness Feature Adapter for Efficient Adversarial Training
Quanwei Wu
Jun Guo
Wei Wang
Yi Alice Wang
AAML
94
0
0
25 Aug 2025
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
Yichi Zhang
Yao Huang
Yifan Wang
Yitong Sun
Chang-rui Liu
...
Xiao Yang
Xingxing Wei
Hang Su
Yinpeng Dong
Jun Zhu
165
1
0
21 Aug 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei
Ke Ma
Yingfei Sun
Qianqian Xu
Qingming Huang
DiffM
546
4
0
02 May 2025
Learning Robust and Privacy-Preserving Representations via Information Theory
AAAI Conference on Artificial Intelligence (AAAI), 2024
Binghui Zhang
Sayedeh Leila Noorbakhsh
Yun Dong
Yuan Hong
Binghui Wang
416
3
0
15 Dec 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
Junhao Dong
Xinghua Qu
Zhiyuan Wang
Yew-Soon Ong
AAML
270
4
0
05 Nov 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking
Decheng Liu
Tao Chen
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
AAML
255
3
0
16 Jun 2024
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors
Jiachen Sun
Changsheng Wang
Zhenghao Hu
Yiwei Zhang
Chaowei Xiao
AAML
VLM
245
13
0
17 May 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAML
OOD
217
11
0
04 Apr 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DD
AAML
317
8
0
20 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Computer Vision and Pattern Recognition (CVPR), 2024
Linyu Tang
Lei Zhang
AAML
185
12
0
18 Mar 2024
Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval
Neural Networks (Neural Netw.), 2023
Decheng Liu
Xu Luo
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
184
3
0
16 Dec 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
340
5
0
09 Sep 2023
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Longrong Yang
Xianpan Zhou
Xuewei Li
Liang Qiao
Zheyang Li
Zi-Liang Yang
Gaoang Wang
Xi Li
337
47
0
28 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
International Journal of Applied Earth Observation and Geoinformation (JAEOG), 2023
Weikang Yu
Yonghao Xu
Pedram Ghamisi
339
10
0
31 Jul 2023
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xiao-Li Li
Ziqi Wang
Bo Zhang
Gang Hua
Xiaolin Hu
225
34
0
04 Dec 2022
Improving Adversarial Robustness via Mutual Information Estimation
International Conference on Machine Learning (ICML), 2022
Dawei Zhou
Nannan Wang
Xinbo Gao
Bo Han
Xiaoyu Wang
Yibing Zhan
Tongliang Liu
AAML
119
21
0
25 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
International Conference on Learning Representations (ICLR), 2022
Zhuo Huang
Xiaobo Xia
Li Shen
Bo Han
Biwei Huang
Chen Gong
Tongliang Liu
OODD
255
57
0
07 Jul 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks
Jiawei Zhang
Jinwei Wang
Hao Wang
X. Luo
AAML
157
36
0
26 Apr 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Computer Vision and Pattern Recognition (CVPR), 2022
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
244
42
0
09 Feb 2022
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou
Nannan Wang
Bo Han
Tongliang Liu
AAML
261
18
0
21 Sep 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training
Neural Information Processing Systems (NeurIPS), 2021
Qizhou Wang
Yifan Zhang
Bo Han
Tongliang Liu
Chen Gong
Gang Niu
Mingyuan Zhou
Masashi Sugiyama
AAML
208
75
0
15 Jun 2021
Removing Adversarial Noise in Class Activation Feature Space
IEEE International Conference on Computer Vision (ICCV), 2021
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
AAML
156
35
0
19 Apr 2021
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