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 | 49 | 2022 |
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 | 5 | 2023 |
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 | 2 | 2022 |
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 | 2 | 2022 |
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 | 1 | 2023 |
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 |