All Stories

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

    Article • October 2024, ACM (Association for Computing Machinery)

    Binghui Wang

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

    Article • October 2024, ACM (Association for Computing Machinery)

    Binghui Wang

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

    Article • March 2024, ACM (Association for Computing Machinery)

    Binghui Wang

  4. Defense against a privacy attack to protect training data information for neural networks.

    Article • December 2022, ACM (Association for Computing Machinery)

    Binghui Wang, Nuo Xu

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

    Article • December 2021, ACM (Association for Computing Machinery)

    Binghui Wang, Professor Zhuotao Liu

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

    Article • November 2021, ACM (Association for Computing Machinery)

    Professor Zhuotao Liu, Binghui Wang

  7. Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

    Article • October 2021, ACM (Association for Computing Machinery)

    Binghui Wang

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

    Article • August 2021, ACM (Association for Computing Machinery)

    Binghui Wang

  9. Privacy-Preserving Representation Learning on Graphs

    Article • August 2021, ACM (Association for Computing Machinery)

    Binghui Wang

  10. Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation

    Article • August 2021, ACM (Association for Computing Machinery)

    Binghui Wang

  11. Backdoor Attacks to Graph Neural Networks

    Article • June 2021, ACM (Association for Computing Machinery)

    Binghui Wang

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

    Article • May 2021, ACM (Association for Computing Machinery)

    Binghui Wang

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

    Article • April 2020, ACM (Association for Computing Machinery)

    Binghui Wang

  14. Attacking Graph-based Classification via Manipulating the Graph Structure

    Article • November 2019, ACM (Association for Computing Machinery)

    Binghui Wang