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Conference Proceeding

Mingze Ni, Zhensu Sun and Wei Liu: Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling. In Proceedings of The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023).
Mingze Ni, Tianqing Zhu, Shui Yu, and Wei Liu: Attacking Neural Machine Translations via Hybrid Attention Learning. In Proceedings of the 2022 IEEE International Conference on Data Science and Advanced Analytics. (DSAA 2022).
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, and Li Li. 2022. CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning. In Proceedings of the ACM Web Conference 2022 (WWW 2022).
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni and L. Li, “Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems,” International Conference on Software Engineering: Companion Proceedings (ICSE 2022)

Mingze Ni and Wei Liu: Reversible Jump Attack to Textual Classifiers with Modification Reduction. In Machine Learning journal, 2024.
Mingze Ni, Zhensu Sun, and Wei Liu: Fraud’s Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Mingze Ni, Tianqing Zhu, Shui Yu, and Wei Liu: Attacking Neural Machine Translations via Hybrid Attention Learning. In Machine Learning journal, 2022.
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li: Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion. In ACM Transactions on Software Engineering and Methodology (TOSEM 2022).

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
Learning to Prevent Profitless Neural Code Completion
SleepNet: A Novel Paradigm Interweaving Supervised Learning and Unsupervised ‘Sleep’ Cycles for Classification Tasks