Deep Learning to Evaluate Secure RSA Implementations

Explore a conference talk presented at the Cryptographic Hardware and Embedded Systems Conference 2019 that delves into the application of deep learning techniques for evaluating secure RSA implementations. Gain insights into the research conducted by Mathieu Carbone, Vincent Conin, Marie-Angela Cornélie, François Dassance, Guillaume Dufresne, Cécile Dumas, Emmanuel Prouff, and Alexandre Venelli. Discover the innovative approach to assessing the security of RSA implementations through deep learning methodologies. Learn about the core processor, algorithm, and analysis involved in this cutting-edge research. Understand the context and implications of this study for cryptographic hardware and embedded systems security.

Introduction
Context
Core Processor
Algorithm
Analysis