Label Correlation in Deep Learning-Based Side-Channel Analysis
Author:
Affiliation:
1. Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, XE, The Netherlands
2. Digital Security Group, Radboud University, Nijmegen, EC, The Netherlands
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/10155470.pdf?arnumber=10155470
Reference42 articles.
1. Machine learning in side-channel analysis: a first study
2. A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
3. Facial Age Estimation by Adaptive Label Distribution Learning
4. A Stochastic Model for Differential Side Channel Cryptanalysis
5. Intelligent Machine Homicide
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1. Profiling and Non-Profiling Key Retrieval Attacks in Programmable Object Interfaces Using Deep Learning Cryptanalytic Techniques: A Survey;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15
2. The Need for MORE: Unsupervised Side-Channel Analysis with Single Network Training and Multi-output Regression;Lecture Notes in Computer Science;2024
3. PROACT - Physical Attack Resistance of Cryptographic Algorithms and Circuits with Reduced Time to Market;Lecture Notes in Computer Science;2024
4. Design of Convolutional Neural Networks Architecture for Non-Profiled Side-Channel Attack Detection;Elektronika ir Elektrotechnika;2023-09-07
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