Jan. 15, 2024, 8:06 a.m. |

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ePrint Report: CL-SCA: Leveraging Contrastive Learning for Profiled Side-Channel Analysis

Annv Liu, An Wang, Shaofei Sun, Congming Wei, Yaoling Ding, Yongjuan Wang, Liehuang Zhu


Side-channel analysis based on machine learning, especially neural networks, has gained significant attention in recent years. However, many existing methods still suffer from certain limitations. Despite the inherent capability of neural networks to extract features, there remains a risk of extracting irrelevant information. The heavy reliance on profiled traces makes it challenging to adapt to remote …

analysis attention channel eprint report limitations machine machine learning networks neural networks report sca side-channel wang wei

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