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Haibin Zheng

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AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking

Mar 25, 2023
Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng

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* 26 pages

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Edge Deep Learning Model Protection via Neuron Authorization

Mar 23, 2023
Jinyin Chen, Haibin Zheng, Tao Liu, Rongchang Li, Yao Cheng, Xuhong Zhang, Shouling Ji

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FedRight: An Effective Model Copyright Protection for Federated Learning

Mar 18, 2023
Jinyin Chen, Mingjun Li, Mingjun Li, Haibin Zheng

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Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs

Oct 25, 2022
Haibin Zheng, Haiyang Xiong, Jinyin Chen, Haonan Ma, Guohan Huang

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Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection

Aug 14, 2022
Haibin Zheng, Haiyang Xiong, Haonan Ma, Guohan Huang, Jinyin Chen

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Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection

Jun 17, 2022
Jinyin Chen, Chengyu Jia, Haibin Zheng, Ruoxi Chen, Chenbo Fu

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Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency

Jun 11, 2022
Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin

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GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning

Apr 05, 2022
Jinyin Chen, Shulong Hu, Haibin Zheng, Changyou Xing, Guomin Zhang

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DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity

Feb 12, 2022
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng

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* 8 pages

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NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Dec 25, 2021
Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen

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