Towards private deep learning-based side-channel analysis using homomorphic encryption. Opportunities and limitations

DOI10.1007/978-3-031-57543-3_8MaRDI QIDQ6630415

Fabrizio De Santis, Christian Rechberger, Fabian Schmid, Stjepan Picek, Shibam Mukherjee, Marc Stöttinger

Publication date: 31 October 2024

zbMATH Keywords

neural networksside-channel analysishomomorphic encryptiondeep learningprivate AI

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cryptography (94A60)

This page was built for publication: Towards private deep learning-based side-channel analysis using homomorphic encryption. Opportunities and limitations