| Stealthy and efficient adversarial attacks against deep reinforcement learning J Sun, T Zhang, X Xie, L Ma, Y Zheng, K Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5883-5891, 2020 | 110 | 2020 |
| Badpre: Task-agnostic backdoor attacks to pre-trained nlp foundation models K Chen, Y Meng, X Sun, S Guo, T Zhang, J Li, C Fan The Tenth International Conference on Learning Representations, 2022 | 71 | 2022 |
| Stealing deep reinforcement learning models for fun and profit K Chen, S Guo, T Zhang, X Xie, Y Liu Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021 | 42 | 2021 |
| Vulnerability assessment of deep reinforcement learning models for power system topology optimization Y Zheng, Z Yan, K Chen, J Sun, Y Xu, Y Liu IEEE Transactions on Smart Grid 12 (4), 3613-3623, 2021 | 29 | 2021 |
| Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only K Chen, X Lou, G Xu, J Li, T Zhang The Eleventh International Conference on Learning Representations (Oral), 2023 | 22 | 2023 |
| Temporal watermarks for deep reinforcement learning models K Chen, S Guo, T Zhang, S Li, Y Liu Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 20 | 2021 |
| Multi-target backdoor attacks for code pre-trained models Y Li, S Liu, K Chen, X Xie, T Zhang, Y Liu arXiv preprint arXiv:2306.08350, 2023 | 17 | 2023 |
| ADS-lead: Lifelong anomaly detection in autonomous driving systems X Han, Y Zhou, K Chen, H Qiu, M Qiu, Y Liu, T Zhang IEEE Transactions on Intelligent Transportation Systems 24 (1), 1039-1051, 2022 | 12 | 2022 |
| Defending Against Man-In-The-Middle Attack in Repeated Games. S Li, X Li, J Hao, B An, Z Feng, K Chen, C Zhang IJCAI, 3742-3748, 2017 | 6 | 2017 |
| Extracting Cloud-based Model with Prior Knowledge S Zhao, K Chen, M Hao, J Zhang, G Xu, H Li, T Zhang arXiv preprint arXiv:2306.04192, 2023 | 3 | 2023 |
| A unified anomaly detection methodology for lane-following of autonomous driving systems X Han, K Chen, Y Zhou, M Qiu, C Fan, Y Liu, T Zhang 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 3 | 2021 |
| Badedit: Backdooring large language models by model editing Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu arXiv preprint arXiv:2403.13355, 2024 | 2 | 2024 |
| GuardHFL: privacy guardian for heterogeneous federated learning H Chen, M Hao, H Li, K Chen, G Xu, T Zhang, X Zhang International Conference on Machine Learning, 4566-4584, 2023 | 1 | 2023 |
| ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks X Lou, G Xu, K Chen, G Li, J Li, T Zhang arXiv preprint arXiv:2204.05113, 2022 | 1 | 2022 |
| Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets G Li, K Chen, Y Xu, H Qiu, T Zhang arXiv preprint arXiv:2307.08596, 2023 | | 2023 |
| Watermarks for Deep Reinforcement Learning K Chen Digital Watermarking for Machine Learning Model: Techniques, Protocols and …, 2022 | | 2022 |
| Towards Automatic Generation of Advanced Shift Networks X Lou, G Xu, K Chen, G Li, J Li, T Zhang | | 2022 |
| Omnipotent Adversarial Training in the Wild G Li, K Chen, Y Xu, H Qiu, S Guo, J Li, T Zhang | | |
