On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection - researchr publication authors

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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]

This author has not been identified. Look up 'Songyang Gao' in GoogleThis author has not been identified. Look up 'Shihan Dou' in GoogleThis author has not been identified. Look up 'Qi Zhang' in GoogleThis author has not been identified. Look up 'Xuanjing Huang' in GoogleThis author has not been identified. Look up 'Jin Ma' in GoogleThis author has not been identified. Look up 'Ying Shan' in Google

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