Improved Neural Distinguishers with Multi-Round and Multi-Splicing Construction

ePrint Report: Improved Neural Distinguishers with Multi-Round and Multi-Splicing Construction

Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen, ManMan Li

In CRYPTO 2019, Gohr successfully applied deep learning to differential cryptanalysis against the NSA block cipher Speck32/64, achieving higher accuracy than traditional differential distinguishers. Until now, the improvement of neural differential distinguishers is a mainstream research direction in neuralaided cryptanalysis. But the current development of training data formats for neural distinguishers forms barriers: (1) The source of data features is limited to …

construction eprint report