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

Physical cryptographic implementations are vulnerable to so-called side-channel attacks, in
which sensitive information can be recovered by analyzing physical phenomena of a device …

Differential power analysis (DPA), as a very practical type of side-channel attacks, has been
widely studied and used for the security analysis of cryptographic implementations …

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 attacks represent a realistic and serious threat to the security of embedded
devices for already almost three decades. A variety of attacks and targets they can be …

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

In recent years, deep learning-based side-channel attacks have established their position as
mainstream. However, most deep learning techniques for cryptanalysis mainly focused on …

Masked implementations of cryptographic algorithms are often used in commercial
embedded cryptographic devices to increase their resistance to side channel attacks. In this …

The field of side-channel analysis has made significant progress over time. Side-channel
analysis is now used in practice in design companies as well as in test laboratories, and the …

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 …