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Neil Zhenqiang Gong

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

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

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* 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

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* 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

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* 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

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* 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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