In response to side-channel attacks on masked implementations of post-quantum
cryptographic algorithms, a new bitsliced higher-order masked implementation of …

Abstract Deep Learning (DL) based Side-Channel Analysis (SCA) has been extremely
popular recently. DL-based SCA can easily break implementations protected by masking …

Abstract Deep Learning-based Side-Channel Analysis (DL-SCA) has emerged as a
powerful method in the field of side-channel analysis. Current works on DL-SCA primarily …

In response to side-channel attacks on masked implementations of post-quantum
cryptographic algorithms, a new bitsliced higher-order masked implementation of …

Convolutional neural networks (CNNs) offer unrivaled performance in profiling side-channel
analysis. This claim is corroborated by numerous results where CNNs break targets …

In recent years, side-channel analysis based on deep learning has garnered significant
attention from researchers. A pivotal reason for this lies in the fact that deep learning-based …

Side-channel analysis (SCA) compromises the security of cryptographic devices by
exploiting various side-channel leakages such as power consumption, electromagnetic (EM) …

Through this thesis, supervised by the Hubert-Curien Laboratory and the Thales ITSEF, we
look for getting better intuitions about the suitability of deep learning techniques to perform …