A Deep Neural Differential Distinguisher for ARX based Block Cipher

ePrint Report: A Deep Neural Differential Distinguisher for ARX based Block Cipher

Debranjan Pal, Upasana Mandal, Mainak Chaudhury, Abhijit Das, Dipanwita Roy Chowdhury

Over the last few years, deep learning is becoming the most trending topic
for the classical cryptanalysis of block ciphers. Differential cryptanalysis
is one of the primary and potent attacks on block ciphers. Here we apply
deep learning techniques to model differential cryptanalysis more easily.
In this paper, we report a generic tool using deep neural classifier …

block cipher eprint report