The Best of Two Worlds: Deep Learning-assisted Template Attack

In the last decade, machine learning-based side-channel attacks have become a standard option when investigating profiling attacks. At same time, previous state-of-the-art technique, template attack, started losing its importance and was more considered baseline to compare against. As such, most of results reported that learning (and especially deep learning) could significantly outperform attack. Nevertheless, attack still has certain advantages even compared learning. The significant one is it only few hyperparameters tune, making easier use.We take another look at we devise feature engineering phase allowing compete or More precisely, with novel distance metric customized for analysis, show how technique called similarity can be used find highly efficient embeddings input data one-epoch training, which then fed into resulting in powerful