Template attack is the most common and powerful profiled side channel attack. It relies on a
realistic assumption regarding the noise of the device under attack: the probability density …

Side-channel attacks exploit a physical observable originating from a cryptographic device
in order to extract its secrets. Many practically relevant advances in the field of side-channel …

The side-channel community recently investigated a new approach, based on deep
learning, to significantly improve profiled attacks against embedded systems. Previous …

The fair evaluation and comparison of side-channel attacks and countermeasures has been
a long standing open question, limiting further developments in the field. Motivated by this …

In this paper, we present a side-channel attack on a first-order masked implementation of
IND-CCA secure Saber KEM. We show how to recover both the session key and the long …

Today, the deep learning-based side-channel analysis represents a widely researched
topic, with numerous results indicating the advantages of such an approach. Indeed …

Template attacks remain a powerful side-channel technique to eavesdrop on tamper-
resistant hardware. They model the probability distribution of leaking signals and noise to …

We investigate the relationships between theoretical studies of leaking cryptographic
devices and concrete security evaluations with standard side-channel attacks. Our …

In this contribution we propose the so-called SVM attack, a profiling based side channel
attack, which uses the machine learning algorithm support vector machines (SVM) in order …

As side‐channel analysis and machine learning algorithms share the same objective of
classifying data, numerous studies have been proposed for adapting machine learning to …