A recent line of research has investigated a new profiling technique based on deep learning
as an alternative to the well-known template attack. The advantage of this new profiling …

Side-channel attacks have become a realistic threat to implementations of cryptographic
algorithms, especially with the help of deep-learning techniques. The majority of recently …

Recently, several deep-learning side-channel attacks on cryptographic algorithms were
demonstrated. With the help of a trained deep-learning model, the attacker extracts the key …

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

One of the main promoted advantages of deep learning in profiling side-channel analysis is
the possibility of skipping the feature engineering process. Despite that, most recent …

Deep learning side-channel attacks are an emerging threat to the security of
implementations of cryptographic algorithms. The attacker first trains a model on a large set …

Deep learning (DL) has proven to be very effective for image recognition tasks, with a large
body of research on various model architectures for object classification. Straight-forward …

The differential deep learning analysis proposed by Timon is the first non-profiled side-
channel attack technique that uses deep learning. The technique recovers the secret key …

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 …

During the last ten years, power analysis attacks have been widely developed under many
forms. They analyze the relation between the power consumption or electromagnetic …