Enhancing Scale and Shift Invariance in Deep Learning-Based Side-Channel Attacks Through Equivariant Convolutional Neural Networks

Lecture notes in computer science, pp. 198–228

Authors 4

1. David Perez

   Radboud University Nijmegen · Ikerlan

   Affiliation as printed

   Ikerlan, Gipuzkoa, Spain

   Radboud University, Nijmegen, The Netherlands

2. Sengim Karayalçın Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, The Netherlands

3. Stjepan Picek corresponding

   Radboud University Nijmegen · University of Zagreb · Faculty of Electrical Engineering and Computing in Zagreb

   Affiliation as printed

   Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

   Radboud University, Nijmegen, The Netherlands

4. Servio Paguada

   Ikerlan

   Affiliation as printed

   Ikerlan, Gipuzkoa, Spain