| 2026 | ACL | SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models. | Bingxin Xu, Yuzhang Shang, Binghui Wang, Emilio Ferrara |
| 2026 | DSN | Large-Scale Security Analysis of Multi-Token Smart Contracts: Uncovering Hidden Flaws in Batch Transfers. | Ashok Kasthuri, Sajad Meisami, Lingxiao Jiang, Binghui Wang, Yue Duan |
| 2026 | SP | Ensemble Conformal Predictor (EnCP): A New Conformal Predictor with Robustness Guarantees Against Data Poisoning Attacks. | Yuxin Yang, Qiang Li, Runyang Feng, Liren Shan, Binghui Wang |
| 2025 | AAAI | Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. | Jiate Li, Meng Pang, Binghui Wang |
| 2025 | AAAI | Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. | Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang |
| 2025 | AAAI | Learning Robust and Privacy-Preserving Representations via Information Theory. | Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang |
| 2025 | CVPR | Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations. | Jiate Li, Meng Pang, Yun Dong, Binghui Wang |
| 2025 | ICLR | Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. | Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang |
| 2025 | SP | FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning. | Binghui Zhang, Luis Mares De La Cruz, Binghui Wang |
| 2024 | AAAI | 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 |
| 2024 | CCS | Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. | Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong |
| 2024 | CCS | Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. | Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang |
| 2024 | CIKM | 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 |
| 2024 | CIKM | Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. | Ruo Yang, Binghui Wang, Mustafa Bilgic |
| 2024 | ECCV | Graph Neural Network Causal Explanation via Neural Causal Models. | Arman Behnam, Binghui Wang |
| 2024 | ICASSP | Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. | Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang |
| 2024 | ICLR | GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. | Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia |
| 2024 | ICML | Graph Neural Network Explanations are Fragile. | Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang |
| 2024 | SP | 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 |
| 2024 | SP | 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 |
| 2024 | WSDM | 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 |
| 2023 | CVPR | Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. | Binghui Wang, Meng Pang, Yun Dong |
| 2023 | CVPR | IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. | Ruo Yang, Binghui Wang, Mustafa Bilgic |
| 2023 | GLOBECOM | M-Net: A Lightweight Network Based on Multilayer Perceptron for Massive MIMO CSI Feedback. | Yaxin Yu, Yinglei Teng, Binghui Wang, An Liu, Vincent Lau |
| 2023 | WACV | 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 |
| 2022 | ACSAC | NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. | Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam |
| 2022 | AsiaCCS | GraphTrack: A Graph-based Cross-Device Tracking Framework. | Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong |
| 2022 | CIKM | Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. | Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang |
| 2022 | CVPR | Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. | Binghui Wang, Youqi Li, Pan Zhou |
| 2022 | ECCV | UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. | Hanbin Hong, Binghui Wang, Yuan Hong |
| 2022 | ICDM | GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. | Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen |
| 2022 | ICLR | Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. | Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong |
| 2022 | IJCNN | 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 |
| 2022 | UIC | 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 |
| 2021 | AAAI | Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. | Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | ACSAC | 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 |
| 2021 | AsiaCCS | Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. | Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong |
| 2021 | CCS | A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. | Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu |
| 2021 | CVPR | Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. | Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen |
| 2021 | HPCC | 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 |
| 2021 | ISCAS | A 3-6GHz 5-to-512 Multiplier Adaptive Fast-Locking Self-Biased PLL in 28nm CMOS. | Binghui Wang, Haigang Yang, Yiping Jia |
| 2021 | KDD | 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 |
| 2021 | KDD | Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. | Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li |
| 2021 | KDD | Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. | Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2021 | SACMAT | Backdoor Attacks to Graph Neural Networks. | Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong |
| 2020 | ICLR | Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. | Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong |
| 2020 | WWW | Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. | Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2019 | CCS | Attacking Graph-based Classification via Manipulating the Graph Structure. | Binghui Wang, Neil Zhenqiang Gong |
| 2019 | NDSS | Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. | Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong |
| 2018 | RAID | SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. | Binghui Wang, Le Zhang, Neil Zhenqiang Gong |
| 2018 | SP | Stealing Hyperparameters in Machine Learning. | Binghui Wang, Neil Zhenqiang Gong |
| 2017 | CIKM | Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. | Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu |
| 2017 | DSN | Random Walk Based Fake Account Detection in Online Social Networks. | Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong |
| 2017 | ICDM | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. | Binghui Wang, Neil Zhenqiang Gong, Hao Fu |
| 2017 | INFOCOM | SybilSCAR: Sybil detection in online social networks via local rule based propagation. | Binghui Wang, Le Zhang, Neil Zhenqiang Gong |
| 2017 | WWW | AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. | Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong |
| 2016 | MMM | Discriminant Manifold Learning via Sparse Coding for Image Analysis. | Meng Pang, Binghui Wang, Xin Fan, Chuang Lin |
| 2015 | ICDM | Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. | Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan |