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This is a project in which side-channel attacks are researched and developed.
Deep Learning-based Framework for Side-Channel Analysis
Repository code to support paper TCHES2020 paper "Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis"
Repository code to support paper TCHES2020 paper "Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders"
Keep it unsupervised: Horizontal Attacks meet Deep Learning
AES HD dataset
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