来源:https://ches.iacr.org/2021/acceptedpapers.php
简要分类:
项目 | Value |
---|---|
后量子密码软硬件加速相关 | 6,12 |
侧信道攻防相关 | 2,3,5,7,10,11,13 |
同态相关 | 无 |
1. Machine Learning of Physical Unclonable Functions using Helper Data - Revealing a Pitfall in the Fuzzy Commitment Scheme
Emanuele Strieder; Christoph Frisch; Michael Pehl
Fraunhofer Institute for Applied and Integrated Security AISEC; Technical University of Munich