Optimal Dimensionality Reduction using Conditional Variational AutoEncoder

The benefits of using Deep Learning techniques to enhance side-channel attacks performances have been demonstrated over recent years. Most of the work carried out since then focuses on discriminative models. However, one of their major limitations is the lack of theoretical results. Indeed, this la...

Full description

Bibliographic Details

Published in:	Transactions on Cryptographic Hardware and Embedded Systems
Main Authors:	Sana Boussam, Mathieu Carbone, Benoît Gérard, Guénaël Renault, Gabriel Zaid
Format:	Article
Language:	English
Published:	Ruhr-Universität Bochum 2025-06-01
Subjects:	Side-Channel Attacks Deep Learning Optimal Dimensionality Reduction Optimal Attacks Generative Models Variational AutoEncoder
Online Access:	https://tches.iacr.org/index.php/TCHES/article/view/12214