Publication

This is our AdvML-Group’s academic accomplishments.

CCF-A/B/C denotes the list of top (Tier A/B/C) international academic periodicals and conferences recommended by China Computer Federation (CCF).

* denotes the corresponding author. # denotes Dr. Di Ming’s mentee.

2026

  1. TVCCCF-C
    Enhancing the transferability and imperceptibility of adversarialattacks via rescaled variance-reduced diffusion
    Junwei Xie, Wenwen Zhang, Wen Yang, Guodong Liu, and Di Ming
    In Proceedings of the The Visual Computer, May 2026
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  2. ICMLCCF-A
    Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
    Shuangshuang Pu, Wen Yang, Min Li, Guodong Liu, Chris Ding, and Di Ming
    In Proceedings of the International Conference on Machine Learning, Jul 2026
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2025

  1. ICCVCCF-A
    SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout
    Wen Yang#, Guodong Liu, and Di Ming*
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, Oct 2025
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  2. CTADCCF-C
    Deep Robust Image Reconstruction Based on Autoencoder and Sparse Learning
    Junyang Zhang#, and Di Ming*
    Computer Technology and Development, Apr 2025
  3. IJCNNCCF-C
    Deep Robust Data Reconstruction via Smoothed L1-Autoencoder and Layerwise Sparse Group Lasso
    Junyang Zhang#, Wen Yang#, and Di Ming*
    In In International Joint Conference on Neural Networks, Jul 2025
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  4. JCQUT
    Deep Embedded Subspace Clustering with Doubly Debiased Contrastive Learning
    Xin Feng, Ruijie Luo#, and Di Ming
    Journal of Chongqing University of Technology (Natural Science), Apr 2025
  5. AINIT
    Towards Robust Graph Neural Networks via Exclusive Group Sparse Feature Learning
    Yi Chen#, and Di Ming*
    In IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology, Apr 2025
  6. EIEDP
    DiffAM-RGN: Enhancing the Transferability of Adversarial Makeup on Facial Recognition with Diffusion Model and Learnable Region
    Sreyna Try#, and Di Ming*
    In Fourth International Conference on Electronic Information Engineering and Data Processing, Jan 2025

2024

  1. NeurIPSCCF-A
    Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
    Di Ming, Peng Ren#, Yunlong Wang, and Xin Feng
    In Thirty-Eighth Annual Conference on Neural Information Processing Systems, Dec 2024
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  2. CVPRCCF-A
    Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
    Di Ming, Peng Ren#, Yunlong Wang, and Xin Feng
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2024
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2023

  1. ICCVCCF-A
    TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
    Yiran Liu#, Xin Feng, Yunlong Wang, Wu Yang, and Di Ming*
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, Oct 2023
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  2. JCQUT
    A Data-Free Universal Adversarial Attack Via Weighted Activation Maximization
    Wu Yang, Yiran Liu#, Xin Feng, and Di Ming*
    Journal of Chongqing University of Technology (Natural Science), Mar 2023