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Jiahao Yu
Jiahao Yu
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Title
Cited by
Cited by
Year
Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts
J Yu, X Lin, Z Yu, X Xing
arXiv preprint arXiv:2309.10253, 2023
1092023
Voiceprint mimicry attack towards speaker verification system in smart home
L Zhang, Y Meng, J Yu, C Xiang, B Falk, H Zhu
IEEE INFOCOM 2020-IEEE conference on computer communications, 377-386, 2020
492020
Speedup robust graph structure learning with low-rank information
H Xu, L Xiang, J Yu, A Cao, X Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
222021
Assessing prompt injection risks in 200+ custom gpts
J Yu, Y Wu, D Shu, M Jin, X Xing
ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2023
182023
Matrix gaussian mechanisms for differentially-private learning
J Yang, L Xiang, J Yu, X Wang, B Guo, Z Li, B Li
IEEE Transactions on Mobile Computing 22 (2), 1036-1048, 2021
102021
Research on Application of Artificial Intelligence Technology in Electrical Automation Control
C Jiang, X Xiong, T Zhu, J Cao, J Yu
Journal of Physics: Conference Series 1601 (5), 052006, 2020
92020
Statemask: Explaining deep reinforcement learning through state mask
Z Cheng, X Wu, J Yu, W Sun, W Guo, X Xing
Advances in Neural Information Processing Systems 36, 2024
32024
{AIRS}: Explanation for Deep Reinforcement Learning based Security Applications
J Yu, W Guo, Q Qin, G Wang, T Wang, X Xing
32nd USENIX Security Symposium (USENIX Security 23), 7375-7392, 2023
32023
Decoupled Alignment for Robust Plug-and-Play Adaptation
H Luo, J Yu, W Zhang, J Li, JYC Hu, X Xin, H Liu
arXiv preprint arXiv:2406.01514, 2024
2024
Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens
J Yu, H Luo, J Yao-Chieh, W Guo, H Liu, X Xing
arXiv preprint arXiv:2405.20653, 2024
2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
Z Cheng, X Wu, J Yu, S Yang, G Wang, X Xing
Proceedings of the 41st International Conference on Machine Learning, 2024
2024
BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning
W Shi, H Li, J Yu, W Guo, X Xing
2024
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