Open-Source

This is the open-source code for our AdvML-Group’s projects and publications.

Open-Source 2026

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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, Di Ming* In International Conference on Machine Learning (ICML), Wed, Jul 8, 2026
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Enhancing the transferability and imperceptibility of adversarial attacks via rescaled variance‑reduced diffusion

Junwei Xie, Wenwen Zhang,Wen Yang, Guodong Liu, Di Ming* In The Visual Computer (TVC), 3 May 2026

Open-Source 2025

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SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout

Wen Yang, Guodong Liu, Di Ming* In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
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Deep Robust Data Reconstruction via Smoothed L1-Autoencoder and Layerwise Sparse Group Lasso

Junyang Zhang, Wen Yang, Di Ming* In International Joint Conference on Neural Networks (IJCNN), Jul 2025

Open-Source 2024

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Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

Di Ming, Peng Ren, Yunlong Wang, and Xin Feng* The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2024
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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

Open-Source 2023

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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