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Binghui Wang
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks

Dec 25, 2020
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

* Accepted by AAAI 2021 
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Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Dec 08, 2020
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen


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GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Dec 08, 2020
Binghui Wang, Ang Li, Hai Li, Yiran Chen


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Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations

Nov 15, 2020
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong


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Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes

Oct 26, 2020
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

* Accepted by AsiaCCS'21 
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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Sep 12, 2020
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen


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Evasion Attacks to Graph Neural Networks via Influence Function

Sep 12, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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Efficient Evasion Attacks to Graph Neural Networks via Influence Function

Sep 01, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Aug 07, 2020
Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li


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Backdoor Attacks to Graph Neural Networks

Jun 19, 2020
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong


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Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

Apr 29, 2020
Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen


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On Certifying Robustness against Backdoor Attacks via Randomized Smoothing

Feb 26, 2020
Binghui Wang, Xiaoyu Cao, Jinyuan jia, Neil Zhenqiang Gong


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Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing

Feb 09, 2020
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong

* Accepted by WWW'20; This is technical report version 
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Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing

Dec 20, 2019
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong

* ICLR 2020, code is available at this: https://github.com/jjy1994/Certify_Topk 
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Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation

Dec 06, 2018
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

* To appear in the 26th Annual Network and Distributed System Security Symposium (NDSS), Feb 2019 
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Stealing Hyperparameters in Machine Learning

Feb 20, 2018
Binghui Wang, Neil Zhenqiang Gong

* To appear in the 39th IEEE Symposium on Security and Privacy, May 2018 
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Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization

Jan 27, 2018
Binghui Wang, Chuang Lin

* 13 pages, 8 figures, 8 tables 
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