‘Recently deep-learning (DL) techniques have been widely adopted in side-channel power analysis. A DL-assisted SCA generally consists of two phases: a deep neural network (DNN) training phase and a follow-on attack phase using the trained DNN. However, currently the two phases are not well aligned, as there is no conclusion on what metric used in the training can result in the most effective attack in the second phase. … We propose to conduct DNN training directly with a common SCA effectiveness metric, Guessing Entropy (GE).’

Find the paper and full list of authors in IEEE Transactions on Information Forensics and Security.