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- [1] Contextualized Perturbation for Textual Adversarial Attack 2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), 2021, : 5053 - 5069
- [3] Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing BMC Medical Informatics and Decision Making, 23
- [4] Word-Level Textual Adversarial Attack in the Embedding Space 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
- [5] OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL-IJCNLP 2021: THE JOINT CONFERENCE OF THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS, 2021, : 363 - 371
- [6] Enhancement of Textual Adversarial Attack Ability Based on Sememe-level Sentence Dilution Algorithm Ruan Jian Xue Bao/Journal of Software, 2023, 34 (07): : 3313 - 3328
- [7] Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, 2023, : 7132 - 7146
- [9] Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization ACM Transactions on Evolutionary Learning and Optimization, 2024, 4 (03):
- [10] An Effective and Efficient Method for Word-Level Textual Adversarial Attack 26TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2021), 2021,