2 citations · 2 across the 3 of their papers we have counts for
4 papers
Neural-Inspired Advances in Integral Cryptanalysis
Liu Zhang, Yiran Yao, Danping Shi +3
The study by Gohr et.al at CRYPTO 2019 and sunsequent related works have shown that neural networks can uncover previously unused features, offering novel insights into cryptanalys…
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…
Improving Differential-Neural Distinguisher Model For DES, Chaskey, and PRESENT
Liu Zhang, Zilong Wang
In CRYPTO'19, Gohr proposed a new cryptanalysis strategy using machine learning algorithms. Combining the differential-neural distinguisher with a differential path and integrating…
On the Construction of Finite Oscillator Dictionary
Rongquan Feng, Zhenhua Gu, Zilong Wang +2
A finite oscillator dictionary which has important applications in sequences designs and the compressive sensing was introduced by Gurevich, Hadani and Sochen. In this paper, we fi…