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Binghui Wang
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Publications
- 2024
- [c48]Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - 2023
- [j11]Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [c43]Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV 2023: 4690-4698 - 2022
- [c37]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - 2021
- [j9]Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 16: 2246-2259 (2021) - [c29]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c28]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys 2021: 933-940 - [c27]Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen:
Disentangling Prototype and Variation for Single Sample Face Recognition. ICME 2021: 1-6 - [c26]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC 2021: 68-79 - [c23]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD 2021: 1667-1676 - [i24]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR abs/2107.01475 (2021) - 2020
- [c16]Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS 2020 - [i19]Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR abs/2004.14861 (2020) - [i17]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR abs/2008.03371 (2020) - [i15]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR abs/2009.00163 (2020) - [i14]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020) - [i11]Binghui Wang, Ang Li, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR abs/2012.04187 (2020) - [i10]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020)
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