MILO-GRP
Machine Intelligence and Large-scale Optimization (MILO) Research Group, School of Computer Science and Engineering, Chongqing University of Technology.
MILO-GroupChongqing, China
Pinned Repositories
EGS-TSSA
[CVPR 2024] "Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training", Di Ming, Peng Ren, Yunlong Wang, Xin Feng*
PLASSO-L12
[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie
RFFS-EXL21
[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding
TRM-UAP
[ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming*
MILO-GRP's Repositories
MILO-GRP/PLASSO-L12
[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie
MILO-GRP/RFFS-EXL21
[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding
MILO-GRP/TRM-UAP
[ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming*
MILO-GRP/EGS-TSSA
[CVPR 2024] "Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training", Di Ming, Peng Ren, Yunlong Wang, Xin Feng*