Binghui Wang - RankMe

163 papers A* 38A 15B 1C 3Misc 2Journal 91Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Tri-Factor Adaptive Federated Learning Framework for Parkinson's Disease Diagnosis via Multi-Source Facial Expression Analysis. IEEE J. Biomed. Health Informatics Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Shengbo Chen, Binghui Wang, Wei Huang
2026	J	`jnl`	A prototype correction multi-scale feature reconstruction network for industrial anomaly detection. Pattern Recognit. Lanxiao Li, Chunjuan Yan, Da Song, Binghui Wang, Chuanxu Wang
2026	J	`jnl`	Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations. CoRR Haozheng Luo, Yimin Wang, Jiahao Yu, Binghui Wang, Yan Chen
2026	J	`jnl`	GMSFormer: Geometric-aware multi-structured transformer for point cloud understanding. Pattern Recognit. Da Song, Chunjuan Yan, Binghui Wang, Yishuo Liu, Chuanxu Wang
2026	J	`jnl`	IPG-FRN: Intrinsic prototype-guided feature reconstruction network for industrial anomaly detection. Expert Syst. Appl. Lanxiao Li, Chuanxu Wang, Yishuo Liu, Binghui Wang, Da Song
2026	J	`jnl`	On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation. CoRR Romina Omidi, Yun Dong, Binghui Wang
2026	J	`jnl`	Self-supervised learning video anomaly detection based on time interval prediction and noise classification. Pattern Recognit. Yishuo Liu, Chuanxu Wang, Qingyang Yang, Lanxiao Li, Binghui Wang
2026	J	`jnl`	SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models. CoRR Bingxin Xu, Yuzhang Shang, Binghui Wang, Emilio Ferrara
2026	J	`jnl`	Theoretically Understanding Data Reconstruction Leakage in Federated Learning. Trans. Mach. Learn. Res. Binghui Zhang, Zifan Wang, Meng Pang, Yuan Hong, Binghui Wang
2026	J	`jnl`	When One Modality Rules Them All: Backdoor Modality Collapse in Multimodal Diffusion Models. CoRR Qitong Wang, Haoran Dai, Haotian Zhang, Christopher Rasmussen, Binghui Wang
2025	J	`jnl`	A Secret Sharing-Inspired Robust Distributed Backdoor Attack to Federated Learning. ACM Trans. Priv. Secur. Yuxin Yang, Qiang Li, Yuede Ji, Binghui Wang
2025	A*	`conf`	AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification. USENIX Security Symposium Jiate Li, Binghui Wang
2025	J	`jnl`	AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification. CoRR Jiate Li, Binghui Wang
2025	J	`jnl`	Align and Blend: A Unified Multi-Modal LiDAR Segmentation Network. IEEE Trans. Intell. Transp. Syst. Chuanxu Wang, Jiajiong Li, Xin Chen, Da Song, Binghui Wang
2025	J	`jnl`	Backdoor Attacks on Discrete Graph Diffusion Models. CoRR Jiawen Wang, Samin Karim, Yuan Hong, Binghui Wang
2025	A*	`conf`	Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. AAAI Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang
2025	J	`jnl`	CPFormer: contrast planes transformer for point cloud semantic segmentation. J. Electronic Imaging Da Song, Binghui Wang, Lanxiao Li, Yishuo Liu, Chuanxu Wang
2025	J	`jnl`	CRissNet: An Efficient and Lightweight Network for CSI Feedback in Massive MIMO Systems. IEEE Trans. Cogn. Commun. Netw. Binghui Wang, Yinglei Teng, Yangliu Zhao, Yaxin Yu, Vincent K. N. Lau
2025	A*	`conf`	Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations. CVPR Jiate Li, Meng Pang, Yun Dong, Binghui Wang
2025	J	`jnl`	Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations. CoRR Jiate Li, Meng Pang, Yun Dong, Binghui Wang
2025	—	`conf`	FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning. SP (Workshops) Binghui Zhang, Luis Mares De La Cruz, Binghui Wang
2025	J	`jnl`	FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning. CoRR Binghui Zhang, Luis Mares De La Cruz, Binghui Wang
2025	J	`jnl`	GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models. CoRR Haozheng Luo, Chenghao Qiu, Yimin Wang, Shang Wu, Jiahao Yu, Han Liu, Binghui Wang, Yan Chen
2025	—	`conf`	Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CODASPY Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2025	J	`jnl`	Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors. IEEE Trans. Neural Networks Learn. Syst. Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yintao Zhou, Wei Huang, Bihan Wen
2025	J	`jnl`	Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach With Novel Metrics. IEEE Trans. Inf. Forensics Secur. Jane Downer, Ren Wang, Binghui Wang
2025	A*	`conf`	Learning Robust and Privacy-Preserving Representations via Information Theory. AAAI Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2025	J	`jnl`	MMI-FM: Multimodal Interaction and Fusion Mechanism for Video Anomaly Detection. Appl. Intell. Binghui Wang, Chuanxu Wang, Jiajiong Li, Da Song, Yishuo Liu
2025	J	`jnl`	Measure-Theoretic Anti-Causal Representation Learning. CoRR Arman Behnam, Binghui Wang
2025	A*	`conf`	PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models. USENIX Security Symposium Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
2025	A*	`conf`	Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. AAAI Jiate Li, Meng Pang, Binghui Wang
2025	J	`jnl`	Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models. CoRR Haoran Dai, Jiawen Wang, Ruo Yang, Manali Sharma, Zhonghao Liao, Yuan Hong, Binghui Wang
2025	A*	`conf`	Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. ICLR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2025	J	`jnl`	Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. CoRR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2025	J	`jnl`	Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks. IEEE Trans. Dependable Secur. Comput. Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu
2025	A*	`conf`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. USENIX Security Symposium Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	J	`jnl`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. CoRR Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	J	`jnl`	Towards Strong Certified Defense with Universal Asymmetric Randomization. CoRR Hanbin Hong, Ashish Kundu, Ali Payani, Binghui Wang, Yuan Hong
2025	J	`jnl`	VeFIA: An Efficient Inference Auditing Framework for Vertical Federated Collaborative Software. CoRR Chung-ju Huang, Ziqi Zhang, Yinggui Wang, Binghui Wang, Tao Wei, Leye Wang
2025	J	`jnl`	Watermarking Graph Neural Networks via Explanations for Ownership Protection. CoRR Jane Downer, Ren Wang, Binghui Wang
2024	J	`jnl`	A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. CoRR Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang
2024	A	`conf`	Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. CIKM Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang
2024	A*	`conf`	Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. CCS Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong
2024	A*	`conf`	DeepTheft: Stealing DNN Model Architectures through Power Side Channel. SP Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal
2024	A*	`conf`	Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CCS Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
2024	J	`jnl`	Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CoRR Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
2024	Misc	`conf`	Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. ICASSP Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang
2024	J	`jnl`	Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning. CoRR Chenfei Nie, Qiang Li, Yuxin Yang, Yuede Ji, Binghui Wang
2024	A	`conf`	Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen
2024	A*	`conf`	FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. NeurIPS Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
2024	J	`jnl`	FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. CoRR Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
2024	A*	`conf`	GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. ICLR Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia
2024	—	`conf`	Graph Neural Network Causal Explanation via Neural Causal Models. ECCV (61) Arman Behnam, Binghui Wang
2024	J	`jnl`	Graph Neural Network Causal Explanation via Neural Causal Models. CoRR Arman Behnam, Binghui Wang
2024	A*	`conf`	Graph Neural Network Explanations are Fragile. ICML Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2024	J	`jnl`	Graph Neural Network Explanations are Fragile. CoRR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2024	A*	`conf`	Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. USENIX Security Symposium Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
2024	J	`jnl`	Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. CoRR Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
2024	J	`jnl`	Learning Robust and Privacy-Preserving Representations via Information Theory. CoRR Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2024	A	`conf`	Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. CIKM Ruo Yang, Binghui Wang, Mustafa Bilgic
2024	J	`jnl`	Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. CoRR Ruo Yang, Binghui Wang, Mustafa Bilgic
2024	J	`jnl`	PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. CoRR Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
2024	J	`jnl`	Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs - A Graph Sequential Embedding Method. CoRR Jiate Li, Meng Pang, Binghui Wang
2024	A	`conf`	Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains. ICME Meng Pang, Binghui Wang, Nanrun Zhou, Yintao Zhou, Wei Huang
2024	J	`jnl`	Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs. CoRR Jane Downer, Ren Wang, Binghui Wang
2024	A*	`conf`	Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. AAAI Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2024	A*	`conf`	Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. SP Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
2024	J	`jnl`	Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective. CoRR Zifan Wang, Binghui Zhang, Meng Pang, Yuan Hong, Binghui Wang
2024	J	`jnl`	Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2023	A	`conf`	A Certified Radius-Guided Attack Framework to Image Segmentation Models. EuroS&P Wenjie Qu, Youqi Li, Binghui Wang
2023	J	`jnl`	A Certified Radius-Guided Attack Framework to Image Segmentation Models. CoRR Wenjie Qu, Youqi Li, Binghui Wang
2023	J	`jnl`	CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback. IEEE Commun. Lett. Binghui Wang, Yinglei Teng, Vincent K. N. Lau, Zhu Han
2023	J	`jnl`	DeepTheft: Stealing DNN Model Architectures through Power Side Channel. CoRR Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal
2023	J	`jnl`	DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen
2023	A*	`conf`	IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CVPR Ruo Yang, Binghui Wang, Mustafa Bilgic
2023	J	`jnl`	IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CoRR Ruo Yang, Binghui Wang, Mustafa Bilgic
2023	A	`conf`	Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu
2023	—	`conf`	M-Net: A Lightweight Network Based on Multilayer Perceptron for Massive MIMO CSI Feedback. GLOBECOM (Workshops) Yaxin Yu, Yinglei Teng, Binghui Wang, An Liu, Vincent Lau
2023	J	`jnl`	Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks. CoRR Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2023	J	`jnl`	Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. CoRR Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
2023	A*	`conf`	Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CVPR Binghui Wang, Meng Pang, Yun Dong
2023	J	`jnl`	Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CoRR Binghui Wang, Meng Pang, Yun Dong
2022	J	`jnl`	A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Trans. Inf. Forensics Secur. Meng Pang, Binghui Wang, Siyu Huang, Yiu-ming Cheung, Bihan Wen
2022	A*	`conf`	Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
2022	A*	`conf`	Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. CVPR Binghui Wang, Youqi Li, Pan Zhou
2022	J	`jnl`	Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. CoRR Binghui Wang, Youqi Li, Pan Zhou
2022	A	`conf`	Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. CIKM Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang
2022	A*	`conf`	GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen
2022	A	`conf`	GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2022	J	`jnl`	GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2022	A	`conf`	NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2022	J	`jnl`	NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2022	—	`conf`	SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Haiyang Luo, Zhe Sun, Yunqing Sun, Ang Li, Binghui Wang, Jin Cao, Ben Niu
2022	—	`conf`	UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. ECCV (5) Hanbin Hong, Binghui Wang, Yuan Hong
2022	J	`jnl`	UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. CoRR Hanbin Hong, Binghui Wang, Yuan Hong
2022	B	`conf`	Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
2021	C	`conf`	A 3-6GHz 5-to-512 Multiplier Adaptive Fast-Locking Self-Biased PLL in 28nm CMOS. ISCAS Binghui Wang, Haigang Yang, Yiping Jia
2021	A*	`conf`	A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. CCS Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu
2021	J	`jnl`	A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. CoRR Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu
2021	C	`conf`	Backdoor Attacks to Graph Neural Networks. SACMAT Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2021	A*	`conf`	Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2021	J	`jnl`	Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
2021	A	`conf`	Disentangling Prototype and Variation for Single Sample Face Recognition. ICME Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen
2021	J	`jnl`	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. Tong Wu, Pan Zhou, Binghui Wang, Ang Li, Xueming Tang, Zichuan Xu, Kai Chen, Xiaofeng Ding
2021	Misc	`conf`	LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2021	A	`conf`	On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu
2021	A*	`conf`	Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
2021	J	`jnl`	Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
2021	—	`conf`	Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
2021	A	`conf`	Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2021	A*	`conf`	Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2021	A*	`conf`	Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. ACM Multimedia Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
2021	J	`jnl`	Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. CoRR Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
2021	A*	`conf`	Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. KDD Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He
2021	J	`jnl`	VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen
2020	J	`jnl`	Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
2020	—	`conf`	An Intelligent Service Method for Grid Spatio-Temporal Big Data Based on Beidou. ICITEE Jianwei Zhao, Guangjun Zhao, Biao Pan, Meng Zhou, Lei Song, Binghui Wang, Jie Zhang
2020	J	`jnl`	Backdoor Attacks to Graph Neural Networks. CoRR Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2020	A*	`conf`	Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
2020	A*	`conf`	Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. WWW Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. CoRR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Evasion Attacks to Graph Neural Networks via Influence Function. CoRR Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen
2020	J	`jnl`	GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR Binghui Wang, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2020	J	`jnl`	On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. CoRR Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2020	A*	`conf`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2020	J	`jnl`	Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
2020	J	`jnl`	Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2020	J	`jnl`	Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2020	—	`conf`	State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective. ISGT Luke Myers, Binghui Wang, Neil Zhenqiang Gong, Daji Qiao
2020	J	`jnl`	Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. Meng Pang, Yiu-ming Cheung, Binghui Wang, Jian Lou
2019	A*	`conf`	Attacking Graph-based Classification via Manipulating the Graph Structure. CCS Binghui Wang, Neil Zhenqiang Gong
2019	J	`jnl`	Attacking Graph-based Classification via Manipulating the Graph Structure. CoRR Binghui Wang, Neil Zhenqiang Gong
2019	J	`jnl`	Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. CoRR Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
2019	A*	`conf`	Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. NDSS Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2019	J	`jnl`	Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognit. Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu
2019	J	`jnl`	Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
2018	J	`jnl`	Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. CoRR Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2018	J	`jnl`	Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization. CoRR Binghui Wang, Chuang Lin
2018	—	`conf`	SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2018	A*	`conf`	Stealing Hyperparameters in Machine Learning. IEEE Symposium on Security and Privacy Binghui Wang, Neil Zhenqiang Gong
2018	J	`jnl`	Stealing Hyperparameters in Machine Learning. CoRR Binghui Wang, Neil Zhenqiang Gong
2018	J	`jnl`	Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
2018	A	`conf`	SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. RAID Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2018	J	`jnl`	SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. CoRR Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2018	J	`jnl`	SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2017	A*	`conf`	AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2017	J	`jnl`	Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. IEEE Access Meng Pang, Binghui Wang, Yiu-ming Cheung, Chuang Lin
2017	A*	`conf`	GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. ICDM Binghui Wang, Neil Zhenqiang Gong, Hao Fu
2017	A	`conf`	Random Walk Based Fake Account Detection in Online Social Networks. DSN Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2017	A	`conf`	Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu
2017	A*	`conf`	SybilSCAR: Sybil detection in online social networks via local rule based propagation. INFOCOM Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2016	—	`conf`	Discriminant Manifold Learning via Sparse Coding for Image Analysis. MMM (2) Meng Pang, Binghui Wang, Xin Fan, Chuang Lin
2016	J	`jnl`	Orthogonal enhanced linear discriminant analysis for face recognition. IET Biom. Chuang Lin, Binghui Wang, Xin Fan, Yanchun Ma, Huiyun Liu
2015	—	`conf`	Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. ICDM Workshops Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan
2014	J	`jnl`	Hierarchical Bayes based Adaptive Sparsity in Gaussian Mixture Model. Pattern Recognit. Lett. Binghui Wang, Chuang Lin, Xin Fan, Ning Jiang, Dario Farina
2014	J	`jnl`	Neighbourhood sensitive preserving embedding for pattern classification. IET Image Process. Binghui Wang, Chuang Lin, Xue-Feng Zhao, Zhe-Ming Lu
2013	—	`conf`	Graph regularized non-negative matrix factorization with sparse coding. ChinaSIP Binghui Wang, Meng Pang, Chuang Lin, Xin Fan
2012	C	`conf`	Space-Time Registration for Physical-Cyber World Mapping in Internet of Things. CIT Huansheng Ning, Wei He, Sha Hu, Binghui Wang