Machine Learning and Side-Channel Analysis - Part 2

Explore advanced concepts in machine learning and side-channel analysis through this comprehensive CHES 2023 conference session chaired by Eleonora Cagli. Delve into topics such as neural networks, deep learning, side-channel collision attacks, and timing measurement analysis. Gain insights into assumptions, recaps, and results of various studies. Participate in audience questions and discussions to deepen understanding of class leakage and jungle scenarios. Access additional resources, including papers and slides, through the provided IACR link for further exploration of this cutting-edge field in cryptographic hardware and embedded systems security.

Introduction
What are SideChannel Attacks
Assumptions
Recap
Neural Network
Results
Conclusion
Questions
Deep Learning
SideChannel Collision Attacks
HighLevel Overview
Sensitivity Analysis
Summary
Audience Questions
Discussion
Presentation
Outline
Class Leakage
Jungle Scenario
Timing Measurement Analysis