Today's mobile devices contain densely packaged system-on-chips (SoCs) with multi-core,
high-frequency CPUs and complex pipelines. In parallel, sophisticated SoC-assisted …

In the field of image recognition, machine learning technologies, especially deep learning,
have been rapidly advancing alongside the advances of hardware such as GPUs. In image …

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 …

The deep learning-based side-channel analysis represents a powerful and easy to deploy
option for profiling side-channel attacks. A detailed tuning phase is often required to reach a …

In recent years, deep learning has become an attractive ingredient to side-channel analysis
(SCA) due to its potential to improve the success probability or enhance the performance of …

Today, deep neural networks are a common choice for conducting the profiled side-channel
analysis. Unfortunately, it is not trivial to find neural network hyperparameters that would …

Abstract Deep Learning based Side-Channel Attacks (DL-SCA) are considered as
fundamental threats against secure cryptographic implementations. Side-channel attacks …

Profiled side-channel attacks represent the most powerful category of side-channel attacks.
There, the attacker has access to a clone device to profile its leaking behavior. Additionally …

Due to the constant increase and versatility of IoT devices that should keep sensitive
information private, Side-channel Analysis (SCA) attacks on embedded devices are gaining …

While many similarities between Machine Learning and cryptanalysis tasks exists, so far no
major result in cryptanalysis has been reached with the aid of Machine Learning techniques …