A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks

During the past decade, Deep Neural Networks (DNNs) have proven their value across a wide variety of applications; however, despite their importance, protecting their intellectual property remains an open issue. Recent work has successfully extracted DNNs using cryptanalytic methods in hard-label s...

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Bibliografische gegevens

Hoofdauteurs:	Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Ruhr-Universität Bochum 2026-07-01
Reeks:	Transactions on Cryptographic Hardware and Embedded Systems
Onderwerpen:	Side-Channel Attacks Deep Neural Networks Cryptanalytic extraction Hard-label
Online toegang:	https://tches.iacr.org/index.php/TCHES/article/view/13113
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