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]
@inproceedings{GaoDZHMS23, title = {On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection}, author = {Songyang Gao and Shihan Dou and Qi Zhang and Xuanjing Huang and Jin Ma and Ying Shan}, year = {2023}, url = {https://aclanthology.org/2023.findings-acl.857}, researchr = {https://researchr.org/publication/GaoDZHMS23}, cites = {0}, citedby = {0}, pages = {13573-13581}, booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023}, editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki}, publisher = {Association for Computational Linguistics}, isbn = {978-1-959429-62-3}, }