Tao Wu

11 papers A* 2B 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks. PAKDD (4) Tao Wu, Tie Luo
2025	J	`jnl`	Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks. CoRR Tao Wu, Tie Luo
2024	A*	`conf`	CR-SAM: Curvature Regularized Sharpness-Aware Minimization. AAAI Tao Wu, Tie Luo, Donald C. Wunsch II
2024	A*	`conf`	LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. AAAI Tao Wu, Tie Luo, Donald C. Wunsch II
2023	J	`jnl`	Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability. World Sci. Annu. Rev. Artif. Intell. Tao Wu, Tie Luo, Donald C. Wunsch
2023	J	`jnl`	CR-SAM: Curvature Regularized Sharpness-Aware Minimization. CoRR Tao Wu, Tie Luo, Donald C. Wunsch
2023	B	`conf`	GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. ICIP Tao Wu, Tie Luo, Donald C. Wunsch
2023	J	`jnl`	GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty. CoRR Tao Wu, Tie Luo, Donald C. Wunsch
2023	J	`jnl`	LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. CoRR Tao Wu, Tie Luo, Donald C. Wunsch
2022	—	`conf`	Learning Deep Representations via Contrastive Learning for Instance Retrieval. SSCI Tao Wu, Tie Luo, Donald C. Wunsch
2022	J	`jnl`	Learning Deep Representations via Contrastive Learning for Instance Retrieval. CoRR Tao Wu, Tie Luo, Donald Wunsch