Weixi Zheng

Feb 25, 2024 | eprint.iacr.org | Liu Jing Zhang |Zilong Wang |Weixi Zheng

Paper 2024/322 , Xidian University, Xidian University, Xidian UniversityAbstract At CRYPTO 2019, Gohr demonstrated that differential-neural distinguishers (DNDs) for Speck32/64 can learn more features than classical cryptanalysis's differential distribution tables (DDT). Furthermore, a non-classical key recovery procedure is devised by combining the Upper Confidence Bound (UCB) strategy and the BayesianKeySearch algorithm.