Recent works have demonstrated that deep learning algorithms were efficient to conduct
security evaluations of embedded systems and had many advantages compared to the other …

In the context of the security evaluation of cryptographic implementations, profiling attacks
(aka Template Attacks) play a fundamental role. Nowadays the most popular Template …

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 …

Profiled side-channel analysis based on deep learning, and more precisely Convolutional
Neural Networks, is a paradigm showing significant potential. The results, although scarce …

Side Channel Analysis (SCA) presents a clear threat to privacy and security in modern
computing systems. The vast majority of communications are secured through cryptographic …

Deep Learning has recently been introduced as a new alternative to perform Side-Channel
analysis [MPP16]. Until now, studies have been focused on applying Deep Learning …

We concentrate on machine learning techniques used for profiled side-channel analysis in
the presence of imbalanced data. Such scenarios are realistic and often occurring, for …

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 goal of a side-channel resistance validation program is to assess whether a
cryptographic module utilizing sidechannel analysis countermeasures can provide …

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 …