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Binghui Wang

26 papers at tracked venues · 21 at CORE A* · active 2024–2026

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Venues

AAAI ×4S&P ×4USENIX Security ×4CCS ×2CIKM ×2ICLR ×2NeurIPS ×2ACL ×1CVPR ×1DSN ×1ECCV ×1ICML ×1WSDM ×1

Frequent coauthors

Yuan Hong
×9
Meng Pang
×6
Jiate Li
×5
Yun Dong
×5
Jinyuan Jia
×5
Binghui Zhang
×3
Sayedeh Leila Noorbakhsh
×3
Yuxin Yang
×3
Qiang Li
×3
Arman Behnam
×2
Hanbin Hong
×2
Xinyu Zhang
×2

Papers

  1. Ensemble Conformal Predictor (EnCP): A New Conformal Predictor with Robustness Guarantees Against Data Poisoning Attacks
    S&P 2026 ·
    Yuxin Yang
    ,
    Qiang Li
    ,
    Runyang Feng
    ,
    Liren Shan
    , Binghui Wang
  2. Large-Scale Security Analysis of Multi-Token Smart Contracts: Uncovering Hidden Flaws in Batch Transfers
    DSN 2026 ·
    Ashok Kasthuri
    ,
    Sajad Meisami
    ,
    Lingxiao Jiang
    , Binghui Wang,
    Yue Duan
  3. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
    ACL 2026 ·
    Bingxin Xu
    ,
    Yuzhang Shang
    , Binghui Wang,
    Emilio Ferrara
  4. AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
    USENIX Security 2025 ·
    Jiate Li
    , Binghui Wang
  5. Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
    AAAI 2025 ·
    Meng Pang
    ,
    Houwei Xu
    ,
    Zheng Huang
    ,
    Yintao Zhou
    ,
    Wei Huang
    , Binghui Wang
  6. Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
    CVPR 2025 ·
    Jiate Li
    ,
    Meng Pang
    ,
    Yun Dong
    , Binghui Wang
  7. FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
    S&P 2025 ·
    Binghui Zhang
    ,
    Luis Mares De La Cruz
    , Binghui Wang
  8. Learning Robust and Privacy-Preserving Representations via Information Theory
    AAAI 2025 ·
    Binghui Zhang
    ,
    Sayedeh Leila Noorbakhsh
    ,
    Yun Dong
    ,
    Yuan Hong
    , Binghui Wang
  9. Measure-Theoretic Anti-Causal Representation Learning
    NeurIPS 2025 ·
    Arman Behnam
    , Binghui Wang
  10. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
    USENIX Security 2025 ·
    Wei Zou
    ,
    Runpeng Geng
    , Binghui Wang,
    Jinyuan Jia
  11. Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method
    AAAI 2025 ·
    Jiate Li
    ,
    Meng Pang
    , Binghui Wang
  12. Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
    ICLR 2025 ·
    Jiate Li
    ,
    Meng Pang
    ,
    Yun Dong
    ,
    Jinyuan Jia
    , Binghui Wang
  13. Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
    USENIX Security 2025 ·
    Nima Naderloui
    ,
    Shenao Yan
    , Binghui Wang,
    Jie Fu
    ,
    Wendy Hui Wang
    ,
    Weiran Liu
    ,
    Yuan Hong
  14. Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework
    CIKM 2024 ·
    Yuxin Yang
    ,
    Qiang Li
    ,
    Chenfei Nie
    ,
    Yuan Hong
    , Binghui Wang
  15. Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
    CCS 2024 ·
    Hanbin Hong
    ,
    Xinyu Zhang
    , Binghui Wang,
    Zhongjie Ba
    ,
    Yuan Hong
  16. DeepTheft: Stealing DNN Model Architectures through Power Side Channel
    S&P 2024 ·
    Yansong Gao
    ,
    Huming Qiu
    ,
    Zhi Zhang
    , Binghui Wang,
    Hua Ma
    ,
    Alsharif Abuadbba
    ,
    Minhui Xue
    ,
    Anmin Fu
    ,
    Surya Nepal
  17. Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
    CCS 2024 ·
    Yuxin Yang
    ,
    Qiang Li
    ,
    Jinyuan Jia
    ,
    Yuan Hong
    , Binghui Wang
  18. Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
    WSDM 2024 · Binghui Wang,
    Minhua Lin
    ,
    Tianxiang Zhou
    ,
    Pan Zhou
    ,
    Ang Li
    ,
    Meng Pang
    ,
    Hai Helen Li
    ,
    Yiran Chen
  19. FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
    NeurIPS 2024 ·
    Yuxin Yang
    ,
    Qiang Li
    ,
    Yuan Hong
    , Binghui Wang
  20. GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
    ICLR 2024 ·
    Zaishuo Xia
    ,
    Han Yang
    , Binghui Wang,
    Jinyuan Jia
  21. Graph Neural Network Causal Explanation via Neural Causal Models
    ECCV 2024 ·
    Arman Behnam
    , Binghui Wang
  22. Graph Neural Network Explanations are Fragile
    ICML 2024 ·
    Jiate Li
    ,
    Meng Pang
    ,
    Yun Dong
    ,
    Jinyuan Jia
    , Binghui Wang
  23. Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
    USENIX Security 2024 ·
    Sayedeh Leila Noorbakhsh
    ,
    Binghui Zhang
    ,
    Yuan Hong
    , Binghui Wang
  24. Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
    CIKM 2024 ·
    Ruo Yang
    , Binghui Wang,
    Mustafa Bilgic
  25. Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
    AAAI 2024 ·
    Caridad Arroyo Arevalo
    ,
    Sayedeh Leila Noorbakhsh
    ,
    Yun Dong
    ,
    Yuan Hong
    , Binghui Wang
  26. Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
    S&P 2024 ·
    Xinyu Zhang
    ,
    Hanbin Hong
    ,
    Yuan Hong
    ,
    Peng Huang
    , Binghui Wang,
    Zhongjie Ba
    ,
    Kui Ren