All Stories

  1. Enhancing Model Interpretability with Local Attribution over Global Exploration

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

    Zhiyu Zhu, Zhibo Jin

  2. Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack

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

    Zhiyu Zhu, Zhibo Jin

  3. Improving Adversarial Transferability via Frequency-based Stationary Point Search

    Article • October 2023, ACM (Association for Computing Machinery)

    Zhiyu Zhu, Zhibo Jin, Qinghua Lu, Prof Jun Shen

  4. FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning

    Article • October 2023, ACM (Association for Computing Machinery)

    Zhiyu Zhu, Qinghua Lu, Prof Jun Shen, Zhibo Jin

  5. POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models

    Article • July 2023, ACM (Association for Computing Machinery)

    Zhiyu Zhu, Zhibo Jin

  6. Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning

    Article • January 2023, Springer Science + Business Media

    Zhiyu Zhu, Prof Jun Shen

  7. DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution

    Article • January 2023, Springer Science + Business Media

    Zhiyu Zhu, Prof Jun Shen