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Backdoor Defense via Deconfounded Representation Learning

Backdoor Defense via Deconfounded Representation Learning

13 March 2023
Zaixin Zhang
Qi Liu
Zhicai Wang
Zepu Lu
Qingyong Hu
    AAML
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Papers citing "Backdoor Defense via Deconfounded Representation Learning"

7 / 7 papers shown
Title
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
Yangxu Yin
H. Chen
Yudong Gao
Peng Sun
Z. Li
W. Liu
AAML
33
0
0
29 Apr 2025
FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
Yangxu Yin
H. Chen
Yudong Gao
Peng Sun
Liantao Wu
Z. Li
W. Liu
AAML
34
0
0
29 Apr 2025
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
48
59
0
08 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
63
43
0
02 Oct 2022
Few-Shot Backdoor Attacks on Visual Object Tracking
Few-Shot Backdoor Attacks on Visual Object Tracking
Yiming Li
Haoxiang Zhong
Xingjun Ma
Yong Jiang
Shutao Xia
AAML
23
43
0
31 Jan 2022
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
131
155
0
13 Jan 2021
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
160
252
0
06 Mar 2020
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