Binghui Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 103

Top Venues

Publications

Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. CoRR (2024)
Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang
Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. ICASSP (2024)
Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. CoRR (2024)
Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR (2024)
Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. AAAI (2024)
Jane Downer, Ren Wang, Binghui Wang
Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs. CoRR (2024)
Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. CoRR (2024)
Chenfei Nie, Qiang Li, Yuxin Yang, Yuede Ji, Binghui Wang
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning. CoRR (2024)
Arman Behnam, Binghui Wang
Graph Neural Network Causal Explanation via Neural Causal Models. CoRR (2024)
Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CoRR (2024)
Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
Graph Neural Network Explanations are Fragile. CoRR (2024)
Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. USENIX Security Symposium (2024)
Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. ICLR (2024)
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)
Wenjie Qu, Youqi Li, Binghui Wang
A Certified Radius-Guided Attack Framework to Image Segmentation Models. EuroS&P (2023)
Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal
DeepTheft: Stealing DNN Model Architectures through Power Side Channel. CoRR (2023)
Ruo Yang, Binghui Wang, Mustafa Bilgic
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CoRR (2023)
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) (2023)
Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks. CoRR (2023)
Wenjie Qu, Youqi Li, Binghui Wang
A Certified Radius-Guided Attack Framework to Image Segmentation Models. CoRR (2023)
Ruo Yang, Binghui Wang, Mustafa Bilgic
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CVPR (2023)
Binghui Wang, Meng Pang, Yun Dong
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CoRR (2023)
Yaxin Yu, Yinglei Teng, Binghui Wang, An Liu, Vincent Lau
M-Net: A Lightweight Network Based on Multilayer Perceptron for Massive MIMO CSI Feedback. GLOBECOM (Workshops) (2023)
Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. CoRR (2023)
Binghui Wang, Meng Pang, Yun Dong
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CVPR (2023)
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)
Binghui Wang, Yinglei Teng, Vincent K. N. Lau, Zhu Han
CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback. IEEE Commun. Lett. 27 (7) (2023)
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR (2022)
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS (2022)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN (2022)
Binghui Wang, Youqi Li, Pan Zhou
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. CoRR (2022)
Binghui Wang, Youqi Li, Pan Zhou
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. CVPR (2022)
Meng Pang, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, Bihan Wen
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR (2022)
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC (2022)
Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. CIKM (2022)
Hanbin Hong, Binghui Wang, Yuan Hong
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. ECCV (5) (2022)
Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM (2022)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR (2022)
Hanbin Hong, Binghui Wang, Yuan Hong
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. CoRR (2022)
Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu
SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. CoRR (2021)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS (2021)
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD (2021)
Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD (2021)
Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. KDD (2021)
Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding
Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Netw. Sci. Eng. 8 (1) (2021)
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)
Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. CoRR (2021)
Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. ACM Multimedia (2021)
Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR (2021)
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)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI (2021)
Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. CCS (2021)
Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu
On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC (2021)
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)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. SACMAT (2021)
Binghui Wang, Haigang Yang, Yiping Jia
A 3-6GHz 5-to-512 Multiplier Adaptive Fast-Locking Self-Biased PLL in 28nm CMOS. ISCAS (2021)
Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen
Disentangling Prototype and Variation for Single Sample Face Recognition. ICME (2021)
Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR (2021)
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 (2021)
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR (2020)
Meng Pang, Yiu-Ming Cheung, Binghui Wang, Jian Lou
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Binghui Wang, Ang Li, Hai Li, Yiran Chen
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR (2020)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR (2020)
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)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR (2020)
Luke Myers, Binghui Wang, Neil Zhenqiang Gong, Daji Qiao
State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective. ISGT (2020)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. CoRR (2020)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR (2020)
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR (2020)
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. CoRR (2020)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. CoRR (2020)
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 (2020)
Jianwei Zhao, Guangjun Zhao, Biao Pan, Meng Zhou, Lei Song, Binghui Wang, Jie Zhang
An Intelligent Service Method for Grid Spatio-Temporal Big Data Based on Beidou. ICITEE (2020)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. WWW (2020)
Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu
Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognit. 89 (2019)
Binghui Wang, Neil Zhenqiang Gong
Attacking Graph-based Classification via Manipulating the Graph Structure. CoRR (2019)
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. CoRR (2019)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. NDSS (2019)
Binghui Wang, Neil Zhenqiang Gong
Attacking Graph-based Classification via Manipulating the Graph Structure. CCS (2019)
Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR (2018)
Binghui Wang, Neil Zhenqiang Gong
Stealing Hyperparameters in Machine Learning. IEEE Symposium on Security and Privacy (2018)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. CoRR (2018)
Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS (2018)
Binghui Wang, Chuang Lin
Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization. CoRR (2018)
Binghui Wang, Neil Zhenqiang Gong
Stealing Hyperparameters in Machine Learning. CoRR (2018)
Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR (2018)
Binghui Wang, Le Zhang, Neil Zhenqiang Gong
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. CoRR (2018)
Binghui Wang, Le Zhang, Neil Zhenqiang Gong
SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. RAID (2018)
Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW (2017)
Meng Pang, Binghui Wang, Yiu-Ming Cheung, Chuang Lin
Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. IEEE Access 5 (2017)
Binghui Wang, Neil Zhenqiang Gong, Hao Fu
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. ICDM (2017)
Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM (2017)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Random Walk Based Fake Account Detection in Online Social Networks. DSN (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Binghui Wang