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Ming Hu
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DIAVA: a traffic-based framework for detection of SQL injection attacks and vulnerability analysis of leaked data
H Gu, J Zhang, T Liu, M Hu, J Zhou, T Wei, M Chen
IEEE Transactions on Reliability 69 (1), 188-202, 2019
752019
Efficient federated learning for cloud-based AIoT applications
X Zhang, M Hu, J Xia, T Wei, M Chen, S Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
722020
Personalization as a shortcut for few-shot backdoor attack against text-to-image diffusion models
Y Huang, F Juefei-Xu, Q Guo, J Zhang, Y Wu, M Hu, T Li, G Pu, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21169 …, 2024
34*2024
Jailguard: A universal detection framework for llm prompt-based attacks
X Zhang, C Zhang, T Li, Y Huang, X Jia, M Hu, J Zhang, Y Liu, S Ma, ...
arXiv preprint arXiv:2312.10766, 2024
34*2024
AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems
M Hu, E Cao, H Huang, M Zhang, X Chen, M Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023
222023
GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning using Version Control
M Hu, Z Xia, D Yan, Z Yue, J Xia, Y Huang, Y Liu, M Chen
2023 IEEE Real-Time Systems Symposium (RTSS), 145-157, 2023
16*2023
Towards interpretable federated learning
A Li, R Liu, M Hu, LA Tuan, H Yu
arXiv preprint arXiv:2302.13473, 2023
152023
云计算系统可靠性研究综述
段文雪, 胡铭, 周琼, 吴庭明, 周俊龙, 刘晓, 魏同权, 陈铭松
计算机研究与发展 57 (1), 102-123, 2020
14*2020
FedMut: Generalized Federated Learning via Stochastic Mutation
M Hu, Y Cao, A Li, Z Li, C Liu, T Li, M Chen, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12528 …, 2024
132024
Fedentropy: Efficient device grouping for federated learning using maximum entropy judgment
Z Ling, Z Yue, J Xia, M Hu, T Wang, M Chen
arXiv preprint arXiv:2205.12038, 2022
132022
Quantitative timing analysis for cyber-physical systems using uncertainty-aware scenario-based specifications
M Hu, W Duan, M Zhang, T Wei, M Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
132020
FedCross: Towards accurate federated learning via multi-model cross-aggregation
M Hu, P Zhou, Z Yue, Z Ling, Y Huang, A Li, Y Liu, X Lian, M Chen
2024 IEEE 40th International Conference on Data Engineering (ICDE), 2137-2150, 2024
112024
AdaptiveFL: Adaptive heterogeneous federated learning for resource-constrained AIoT systems
C Jia, M Hu, Z Chen, Y Yang, X Xie, Y Liu, M Chen
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
92024
Enumeration and deduction driven co-synthesis of CCSL specifications using reinforcement learning
M Hu, J Ding, M Zhang, F Mallet, M Chen
2021 IEEE Real-Time Systems Symposium (RTSS), 227-239, 2021
82021
Protect federated learning against backdoor attacks via data-free trigger generation
Y Yang, M Hu, Y Cao, J Xia, Y Huang, Y Liu, M Chen
arXiv preprint arXiv:2308.11333, 2023
72023
Accelerating reinforcement learning-based CCSL specification synthesis using curiosity-driven exploration
M Hu, M Zhang, F Mallet, X Fu, M Chen
IEEE Transactions on Computers 72 (5), 1431-1446, 2022
72022
Is aggregation the only choice? federated learning via layer-wise model recombination
M Hu, Z Yue, X Xie, C Chen, Y Huang, X Wei, X Lian, Y Liu, M Chen
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
6*2024
Sample-guided automated synthesis for CCSL specifications
M Hu, T Wei, M Zhang, F Mallet, M Chen
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
62019
Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?
K Li, Y Xue, S Chen, H Liu, K Sun, M Hu, H Wang, Y Liu, Y Chen
Proceedings of the ACM on Software Engineering 1 (FSE), 1447-1470, 2024
52024
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems
R Liu, M Hu, Z Xia, J Xia, P Zhang, Y Huang, Y Liu, M Chen
arXiv preprint arXiv:2311.14037, 2023
52023
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