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BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label


Jul 13, 2022
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan HE, Hai Jin

* This paper has been accepted by the 30th ACM International Conference on Multimedia (MM '22, October 10--14, 2022, Lisboa, Portugal) 

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Evaluating Membership Inference Through Adversarial Robustness


May 14, 2022
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu

* Accepted by The Computer Journal. Pre-print version 

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Towards Privacy-Preserving Neural Architecture Search


Apr 22, 2022
Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss

* Accepted by IEEE ISCC 2022 

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Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting


Apr 05, 2022
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang

* Accepted by ICME2022 

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Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer


Mar 28, 2022
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu

* Accepted by CVPR2022. Code is available at https://github.com/CGCL-codes/AMT-GAN 

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Challenges and approaches for mitigating byzantine attacks in federated learning


Dec 29, 2021
Shengshan Hu, Jianrong Lu, Wei Wan, Leo Yu Zhang


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Self-Supervised Adversarial Example Detection by Disentangled Representation


May 27, 2021
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou


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