AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Deep learning is a powerful direction for profiling side-channel analysis as it can break
targets protected with countermeasures even with a relatively small number of attack traces …

In modern embedded systems, security issues including side‐channel attacks (SCAs) are
becoming of paramount importance since the embedded devices are ubiquitous in many …

Ascon is a recently standardized suite of symmetric cryptography for authenticated
encryption and hashing algorithms designed to be lightweight. The Ascon scheme has been …

Deep Learning (DL), a novel form of machine learning (ML) is gaining much research
interest due to its successful application in many classical artificial intelligence (AI) tasks as …

Deep learning (DL) is a new option that has just been made available for side-channel
analysis. DL approaches for profiled side-channel attacks (SCA) have dominated research …

Current side-channel evaluation methodologies exhibit a gap between inefficient tools
offering strong theoretical guarantees and efficient tools only offering heuristic (sometimes …

Interest in the application of deep learning in cryptography has increased immensely in
recent years. Several works have shown that such attacks are not only feasible but, in some …

A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …

In side-channel analysis (SCA), Points-of-Interest (PoIs), ie, the informative sample points
remain sparsely scattered across the whole side-channel trace. Several works in the SCA …