3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CR2023
Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64
Liu Zhang, Jinyu Lu, Zilong Wang +1
In CRYPTO 2019, Gohr presented differential-neural cryptanalysis by building the differential distinguisher with a neural network, achieving practical 11-, and 12-round key recover…
cs.CR2022★ 3 cited
Improved (Related-key) Differential-based Neural Distinguishers for SIMON and SIMECK Block Ciphers
Jinyu Lu, Guoqiang Liu, Bing Sun +2
In CRYPTO 2019, Gohr made a pioneering attempt and successfully applied deep learning to the differential cryptanalysis against NSA block cipher SPECK32/64, achieving higher accura…
cs.CR2021
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata +6
Data privacy is an important issue for organizations and enterprises to securely outsource data storage, sharing, and computation on clouds / fogs. However, data encryption is comp…