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Kangjie Chen
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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
1182020
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
812022
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
452021
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
362021
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
272023
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
242023
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
202021
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
162022
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
102024
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
72017
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
42021
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
32023
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
22023
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
12022
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
Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels
X Lou, K Chen, G Xu, H Qiu, S Guo, T Zhang
Omnipotent Adversarial Training in the Wild
G Li, K Chen, Y Xu, H Qiu, S Guo, J Li, T Zhang
Towards Automatic Generation of Advanced Shift Networks
X Lou, G Xu, K Chen, G Li, J Li, T Zhang
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