pypuf data
收藏数据链接：
官方服务：
资源简介：
Collection of PUF challenge-response data, currently consisting of: 1. Charlot, N., Canaday, D., Pomerance, A. & Gauthier, D. J. Hybrid Boolean Networks as Physically Unclonable Functions. <em>IEEE Access</em> <strong>9</strong>, 44855–44867 (2021). 2. Aghaie, A. & Moradi, A. Inconsistency of Simulation and Practice in Delay-based Strong PUFs. <em>IACR Transactions on Cryptographic Hardware and Embedded Systems</em> 520–551 (2021) doi:10.46586/tches.v2021.i3.520-551. 3. Mursi, K. T., Thapaliya, B., Zhuang, Y., Aseeri, A. O. & Alkatheiri, M. S. A Fast Deep Learning Method for Security Vulnerability Study of XOR PUFs. <em>Electronics</em> <strong>9</strong>, 1715 (2020).
提供机构：
Zenodo创建时间：
2021-09-24
