Improving the Deep-Learning-Based Differential Distinguisher and Applications to Simeck

In CRYPTO’2019, Gohr firstly combined deep learning with differential cryptanalysis and obtained the deeplearning-based differential distinguishers on round-reduced Speck32/64. In this paper, we introduce the repeated experiment techniques to improve the deep-learning-based differential distinguishers in Gohr’s work. To prove the effectiveness of our techniques, we apply our improved deep-learning-based differential distinguisher scheme into round-reduced Simeck32/64 and obtain long to 15-round deep-learning-based differential distinguisher. To the best of our knowledge, this is the longest-round distinguisher for Simeck32/64 when compared with the 14round differential distinguisher obtained by traditional wisdom.