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Mingze Lucas Ni
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Coprotector: Protect open-source code against unauthorized training usage with data poisoning
Z Sun, X Du, F Song, M Ni, L Li
Proceedings of the ACM Web Conference 2022, 652-660, 2022
482022
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Z Sun, X Du, F Song, S Wang, M Ni, L Li
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
42023
Attacking neural machine translations via hybrid attention learning
M Ni, C Wang, T Zhu, S Yu, W Liu
Machine Learning 111 (11), 3977-4002, 2022
22022
Learning to Prevent Profitless Neural Code Completion
Z Sun, X Du, F Song, S Wang, M Ni, L Li
arXiv preprint arXiv:2209.05948, 2022
22022
Fraud’s bargain attacks to textual classifiers via metropolis-hasting sampling (student abstract)
M Ni, Z Sun, W Liu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16290 …, 2023
12023
Reversible jump attack to textual classifiers with modification reduction
M Ni, Z Sun, W Liu
Machine Learning, 1-31, 2024
2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
J Li, M Ni, Y Dong, T Zhu, W Liu
arXiv preprint arXiv:2402.11940, 2024
2024
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
M Ni, Z Sun, W Liu
IEEE Transactions on Knowledge and Data Engineering, 2024
2024
Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling
M Ni, Z Sun, W Liu
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 2023
2023
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