Towards robust person re-identification by defending against universal attackers F Yang, J Weng, Z Zhong, H Liu, Z Wang, Z Luo, D Cao, S Li, S Satoh, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5218-5235, 2022 | 9 | 2022 |
Logit margin matters: Improving transferable targeted adversarial attack by logit calibration J Weng, Z Luo, S Li, N Sebe, Z Zhong IEEE Transactions on Information Forensics and Security, 2023 | 8 | 2023 |
Boosting adversarial transferability via fusing logits of top-1 decomposed feature J Weng, Z Luo, D Lin, S Li, Z Zhong arXiv preprint arXiv:2305.01361, 2023 | 6 | 2023 |
Exploring Non-Target Knowledge for Improving Ensemble Universal Adversarial Attacks J Weng, Z Luo, Z Zhong, D Lin, S Li AAAI-2023, 2023 | 6 | 2023 |
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing J Weng, Z Luo, S Li arXiv preprint arXiv:2405.06340, 2024 | | 2024 |
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability J Weng, Z Luo, S Li arXiv preprint arXiv:2405.03193, 2024 | | 2024 |
Learning Transferable Targeted Universal Adversarial Perturbations by Sequential Meta-Learning J Weng, Z Luo, D Lin, S Li Computers & Security, 2023 | | 2023 |
Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification J Weng, Z Luo, D Lin, S Li Computers & Security, 2023 | | 2023 |