AdvML-Group

Adversarial Machine Learning Group (AdvML-Group)

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AdvML-Group is a research group created in 2022, and is headed by Dr. Di Ming. We are primarily based at the School of Computer Science and Engineering, Chongqing University of Technology.
At AdvML-Group, we have broad research interests spanning from the theory to the application aspects of robust statistical learning, adversarial machine learning, scalable optimization, and artificial intelligence security.
Our current research works include, but are not limited to: robust learning, multi-granularity computing, sparse learning, network pruning, graph neural network, representation learning, deep clustering, self-supervised learning, adversarial attack, adversarial training, adversarial purification, nonlinear optimization, large-scale optimization, bilevel optimization, curriculum optimization, multi-stage optimization, etc.

Office: Room B305, First Laboratory Building, 69 Hongguang Avenue, Banan District, Chongqing 400054.

news

Jan 14, 2025 Two group members received the 2025 Graduate Innovation Project. Congrats to Jing Tian, Junwei Xie.
Nov 22, 2024 Code for our method "Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning (NeurIPS 2024)" is released!
Sep 26, 2024 One paper accepted by the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)! Acceptance rates: 25.76%, 4037/15671. Congrats to Peng Ren.
Jun 11, 2024 Two teams from our group have qualified for the 2024 China International College Student Innovation Competition (Institute Contest) and successfully advanced to the campus competition. Congrats to Peng Ren, Wen Yang, and members.
May 10, 2024 Code for our method "Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training (CVPR 2024)" is released!
Apr 29, 2024 One group member achieved Third Prize in the Python Programming Graduate Group at the Chongqing Division of the 15th National Software and Information Technology Talent Competition. Congrats to Wen Yang.
Mar 9, 2024 Three group members received the 2024 Graduate Innovation Project. Congrats to Wen Yang, Renqing Yang, and Siran Tian.
Feb 27, 2024 One paper accepted by Computer Vision and Pattern Recognition 2024 (CVPR 2024)! Acceptance rates: 23.6%, 2719/11532. Congrats to Peng Ren.
Dec 30, 2023 Three group members achieved awards in "HUAWEI CUP" The 20th China Post-graduate Mathematical Contest in Modeling. Congrats to Wen Yang, Peng Ren, and Junyang Zhang.
Sep 28, 2023 Code for our method "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization (ICCV 2023)" is released!
Jul 15, 2023 One paper accepted by International Conference on Computer Vision 2023 (ICCV 2023)! Acceptance rates: 26.15%, 2160/8260. Congrats to Yiran Liu.
Mar 9, 2023 Three group members received the 2023 Graduate Innovation Project. Congrats to Peng Ren, Junyang Zhang, and Chen Yi.