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1
Introduction
2
What are SideChannel Attacks
3
Assumptions
4
Recap
5
Neural Network
6
Results
7
Conclusion
8
Questions
9
Deep Learning
10
SideChannel Collision Attacks
11
HighLevel Overview
12
Sensitivity Analysis
13
Summary
14
Audience Questions
15
Discussion
16
Presentation
17
Outline
18
Class Leakage
19
Jungle Scenario
20
Timing Measurement Analysis
Description:
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.

Machine Learning and Side-Channel Analysis - Part 2

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