… of a machine learning technique in SCA. The considered technique is a powerful kernel-based
learning algorithm: the Least Squares Support Vector Machine (LS-SVM). The chosen …

… In Section II, we present basic notions on side-channel attacks. In Section III-A, we briefly
discuss the datasets we use and in Section III-B we enumerate the machine learning …

… from the machine learning domain to attack … machine learning workflow. Furthermore, we
outline the relationship between traditional power analysis techniques and machine learning-…

… In this paper, we present the first machine learning attack … a strategy based solely on machine
learning models. Finally, we … We show that an attack based on a machine learning model …

… machine learning are available. In this paper, we investigate the side channel analysis based
on machine learning … analysis (PCA) and support vector machine (SVM). For this purpose, …

… We concentrate on machine learning techniques used for profiled sidechannel analysis in …
of machine learning and side-channel metrics, where we show that machine learning metrics (…

… design that provides protection against power sidechannel attacks. The extensions over the
… Therefore, shuffling makes it more difficult to conduct a second-order sidechannel attack on …

… Eventually, the whole discussion conducted in this section, aiming at emphasizing the
links between machine learning concepts and metrics and the ones used in SCA, can be …

… We use two parts to implement the SCA-protection, one is an offline machine learning and
the other is an online compensation. We design the machine learning part offline to save the …

… We explored using an SVM to exploit the side channel leakage. Using an SVM classifier we
reached near 100% classification accuracy using features drawn from measurements during …