PUF Modeling Attack using Active Learning

Author:

Wen Yuejiang,Lao Yingjie

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

2. Active learning for fast and slow modeling attacks on Arbiter PUFs;2023 26th Euromicro Conference on Digital System Design (DSD);2023-09-06

3. Learning from Output Transitions: A Chosen Challenge Strategy for ML Attacks on PUFs;2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2023-08-07

4. DC-PUF: Machine learning-resistant PUF-based authentication protocol using dependency chain for resource-constraint IoT devices;Journal of Network and Computer Applications;2023-08

5. MA-GRNN:a high-efficient modeling attack approach utilizing generalized regression neural network for XOR arbiter physical unclonable functions;IEICE Electronics Express;2023-07-10

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