The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …

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 …

Side-channel analysis has become a widely recognized threat to the security of
cryptographic implementations. Different side-channel attacks, as well as countermeasures …

With increasing expansion of the Internet of Things, embedded devices equipped with
cryptographic modules become an important factor to protect sensitive data. Even though …

We present the first deep learning-based side-channel attack on AES-128 using far field
electromagnetic emissions as a side channel. Our neural networks are trained on traces …

Existing power analysis techniques rely on strong adversary models with prior knowledge of
the leakage or training data. We introduce side-channel analysis with unsupervised learning …

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

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 …

DPA (Differential Power Analysis) Contest is well-known international framework that allows
researchers to compare their power analysis attacks under the same conditions. The latest …