Recently, several studies have been published on the application of deep learning to
enhance Side-Channel Attacks (SCA). These seminal works have practically validated the …

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

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

Masking is one of the most popular countermeasures to side-channel attacks, because it can
offer provable security. However, depending on the adversary's model, useful security …

In recent years, the threat of profiling attacks using deep learning has emerged. Successful
attacks have been demonstrated against various types of cryptographic modules. However …

This study derives information-theoretical bounds of the success rate (SR) of side-channel
attacks on masked implementations. We first develop a communication channel model …

Abstract At Eurocrypt 2015, Duc et al. conjectured that the success rate of a side-channel
attack targeting an intermediate computation encoded in a linear secret-sharing, aka …

The side-channel cryptanalysis of Post-Quantum (PQ) key encapsulation schemes has been
a topic of intense activity over the last years. Many attacks have been put forward: Simple …

Masking is a counter-measure that can be incorporated to software and hardware
implementations of block ciphers to provably secure them against side-channel attacks. The …

Embedded devices used in security applications are natural targets for physical attacks.
Thus, enhancing their side-channel resistance is an important research challenge. A …