| MTFuzz: fuzzing with a multi-task neural network D She, R Krishna, L Yan, S Jana, B Ray Proceedings of the 28th ACM joint meeting on European software engineering …, 2020 | 60 | 2020 |
| Dynamic traffic feature camouflaging via generative adversarial networks J Li, L Zhou, H Li, L Yan, H Zhu 2019 IEEE Conference on Communications and Network Security (CNS), 268-276, 2019 | 38 | 2019 |
| Parafuzz: An interpretability-driven technique for detecting poisoned samples in nlp L Yan, Z Zhang, G Tao, K Zhang, X Chen, G Shen, X Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| : Detoxing Deep Learning Dataset L Yan, S Cheng, G Shen, G Tao, X Chen, K Zhang, Y Mao, X Zhang NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023 | 2 | 2023 |
| CrossFix: Collaborative bug fixing by recommending similar bugs SH Tan, Z Li, L Yan arXiv preprint arXiv:2103.13453, 2021 | 2 | 2021 |
| CrossFix: Resolution of GitHub issues via similar bugs recommendation SH Tan, Z Li, L Yan Journal of Software: Evolution and Process 36 (4), e2554, 2024 | 1 | 2024 |
| Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia G Shen, S Cheng, K Zhang, G Tao, S An, L Yan, Z Zhang, S Ma, X Zhang arXiv preprint arXiv:2402.05467, 2024 | 1 | 2024 |
| CrossFix: Collaborative bug fixing by recommending similar bugs S Hwei Tan, Z Li, L Yan arXiv e-prints, arXiv: 2103.13453, 2021 | | 2021 |
