Binghui Wang

According to our database, Binghui Wang authored at least 88 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning.

Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang

CoRR, 2024

Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective.

Zifan Wang, Binghui Zhang, Meng Pang, Yuan Hong, Binghui Wang

CoRR, 2024

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning.

Chenfei Nie, Qiang Li, Yuxin Yang, Yuede Ji, Binghui Wang

CoRR, 2024

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning.

Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang

CoRR, 2024

Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence.

Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong

CoRR, 2024

Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs.

Jane Downer, Ren Wang, Binghui Wang

CoRR, 2024

PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models.

Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia

CoRR, 2024

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.

Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks.

Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks.

Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren

Proceedings of the IEEE Symposium on Security and Privacy, 2024

DeepTheft: Stealing DNN Model Architectures through Power Side Channel.

Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Graph Neural Network Explanations are Fragile.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains.

Meng Pang, Binghui Wang, Nanrun Zhou, Yintao Zhou, Wei Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations.

Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data.

Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Graph Neural Network Causal Explanation via Neural Causal Models.

Arman Behnam, Binghui Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach.

Ruo Yang, Binghui Wang, Mustafa Bilgic

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework.

Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses.

Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence.

Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks.

Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback.

Binghui Wang, Yinglei Teng, Vincent K. N. Lau, Zhu Han

IEEE Commun. Lett., July, 2023

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.

Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation.

Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

M-Net: A Lightweight Network Based on Multilayer Perceptron for Massive MIMO CSI Feedback.

Yaxin Yu, Yinglei Teng, Binghui Wang, An Liu, Vincent Lau

Proceedings of the IEEE Globecom Workshops 2023, 2023

A Certified Radius-Guided Attack Framework to Image Segmentation Models.

Wenjie Qu, Youqi Li, Binghui Wang

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients.

Ruo Yang, Binghui Wang, Mustafa Bilgic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks.

Binghui Wang, Meng Pang, Yun Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains.

Meng Pang, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2022

SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing.

Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu

Proceedings of the IEEE Smartworld, 2022

Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the International Joint Conference on Neural Networks, 2022

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

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing.

Hanbin Hong, Binghui Wang, Yuan Hong

Proceedings of the Computer Vision - ECCV 2022, 2022

Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees.

Binghui Wang, Youqi Li, Pan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors.

Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GraphTrack: A Graph-based Cross-Device Tracking Framework.

Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks.

Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach.

Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding

IEEE Trans. Netw. Sci. Eng., 2021

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person.

Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2021

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT.

Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding

CoRR, 2021

Backdoor Attacks to Graph Neural Networks.

Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, 2021

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting.

Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation.

Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective.

Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach.

Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A 3-6GHz 5-to-512 Multiplier Adaptive Fast-Locking Self-Biased PLL in 28nm CMOS.

Binghui Wang, Haigang Yang, Yiping Jia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.

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

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Disentangling Prototype and Variation for Single Sample Face Recognition.

Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.

Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Hard Label Black-box Adversarial Attack Against Graph Neural Networks.

Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

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

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks.

Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

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

Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person.

Meng Pang, Yiu-Ming Cheung, Binghui Wang, Jian Lou

IEEE Trans. Inf. Forensics Secur., 2020

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.

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

CoRR, 2020

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

Binghui Wang, Ang Li, Hai Li, Yiran Chen

CoRR, 2020

Evasion Attacks to Graph Neural Networks via Influence Function.

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

CoRR, 2020

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.

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

CoRR, 2020

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

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

CoRR, 2020

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing.

Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

CoRR, 2020

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

Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective.

Luke Myers, Binghui Wang, Neil Zhenqiang Gong, Daji Qiao

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing.

Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 8th International Conference on Learning Representations, 2020

An Intelligent Service Method for Grid Spatio-Temporal Big Data Based on Beidou.

Jianwei Zhao, Guangjun Zhao, Biao Pan, Meng Zhou, Lei Song, Binghui Wang, Jie Zhang

Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020

2019

Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation.

Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong

IEEE Trans. Netw. Sci. Eng., 2019

Robust heterogeneous discriminative analysis for face recognition with single sample per person.

Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu

Pattern Recognit., 2019

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation.

Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Attacking Graph-based Classification via Manipulating the Graph Structure.

Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization.

Binghui Wang, Chuang Lin

CoRR, 2018

Stealing Hyperparameters in Machine Learning.

Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels.

Binghui Wang, Le Zhang, Neil Zhenqiang Gong

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection.

Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction.

Meng Pang, Binghui Wang, Yiu-Ming Cheung, Chuang Lin

IEEE Access, 2017

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields.

Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong

Proceedings of the 26th International Conference on World Wide Web, 2017

SybilSCAR: Sybil detection in online social networks via local rule based propagation.

Binghui Wang, Le Zhang, Neil Zhenqiang Gong

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs.

Binghui Wang, Neil Zhenqiang Gong, Hao Fu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Random Walk Based Fake Account Detection in Online Social Networks.

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.

Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Orthogonal enhanced linear discriminant analysis for face recognition.

Chuang Lin, Binghui Wang, Xin Fan, Yanchun Ma, Huiyun Liu

IET Biom., 2016

Discriminant Manifold Learning via Sparse Coding for Image Analysis.

Meng Pang, Binghui Wang, Xin Fan, Chuang Lin

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis.

Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Hierarchical Bayes based Adaptive Sparsity in Gaussian Mixture Model.

Binghui Wang, Chuang Lin, Xin Fan, Ning Jiang, Dario Farina

Pattern Recognit. Lett., 2014

Neighbourhood sensitive preserving embedding for pattern classification.

Binghui Wang, Chuang Lin, Xue-Feng Zhao, Zhe-Ming Lu

IET Image Process., 2014

2013

Graph regularized non-negative matrix factorization with sparse coding.

Binghui Wang, Meng Pang, Chuang Lin, Xin Fan

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012

Space-Time Registration for Physical-Cyber World Mapping in Internet of Things.

Huansheng Ning, Wei He, Sha Hu, Binghui Wang

Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012