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Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning


Jul 25, 2022
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang

* Accepted to ECCV 2022 

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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients


Jul 20, 2022
Zaixi Zhang, Xiaoyu Cao, Jinayuan Jia, Neil Zhenqiang Gong

* Accepted by KDD 2022 (Research Track) 

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FLDetector: Detecting Malicious Clients in Model Poisoning Attacks to Federated Learning


Jul 19, 2022
Zaixi Zhang, Xiaoyu Cao, Jinayuan Jia, Neil Zhenqiang Gong

* Accepted by KDD 2022 (Research Track) 

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PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning


May 17, 2022
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

* To appear in USENIX Security Symposium, 2022 

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MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients


Mar 16, 2022
Xiaoyu Cao, Neil Zhenqiang Gong


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StolenEncoder: Stealing Pre-trained Encoders


Jan 15, 2022
Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong


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HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance


Nov 23, 2021
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen


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10 Security and Privacy Problems in Self-Supervised Learning


Nov 02, 2021
Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

* A book chapter 

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FaceGuard: Proactive Deepfake Detection


Sep 13, 2021
Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong


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