On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection

Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan. On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 13573-13581, Association for Computational Linguistics, 2023. [doi]

Abstract

Abstract is missing.