Add to ORKGIn CRYPTO 2019, Gohr made a pioneering attempt, and successfully applied deep learning to the differential cryptanalysis against NSA block cipher Speck32/64, achieving higher accuracy than the pure differential distinguishers. By its very nature, mining effective features in data plays a crucial role in data-driven deep learning. In this paper, in addition to considering the integrity of the information from the training data of the ciphertext pair, domain knowledge about the structure of differential cryptanalysis is also considered into the training process of deep learning to improve the performance. Besides, based on the SAT/SMT solvers, we find other high probability compatible differential characteristics which effectively improve the...
Abstract: Lightweight cryptography is a rapidly evolving area of research and it has great impact es...
In this paper we explore various approaches to using deep neural networks to per- form cryptanalysis...
An important part of a cryptosystem is a cryptographic algorithm, which protects unauthorized attack...
In CRYPTO\u2719, Gohr introduced a novel cryptanalysis method by developing a differential-neural di...
At CRYPTO\u2719, Gohr built a bridge between deep learning and cryptanalysis. Based on deep neural n...
At CRYPTO’19, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64, ac...
While many similarities between Machine Learning and cryptanalysis tasks exists, so far no major res...
At CRYPTO\u2719, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64,...
Neural cryptanalysis is the study of cryptographic primitives through machine learning techniques. F...
Recent years have seen a major involvement of deep learning architecture in the cryptanalysis of var...
Differential cryptanalysis is an important technique to evaluate the security of block ciphers. Ther...
Machine learning aided cryptanalysis is an interesting but challenging research topic. At CRYPTO\u27...
Most of the traditional cryptanalytic technologies often require a great amount of time, known plain...
This paper studies the use of deep learning (DL) models under a known-plaintext scenario. The goal o...
Pseudorandomness is a crucial property that the designers of cryptographic primitives aim to achieve...
Abstract: Lightweight cryptography is a rapidly evolving area of research and it has great impact es...
In this paper we explore various approaches to using deep neural networks to per- form cryptanalysis...
An important part of a cryptosystem is a cryptographic algorithm, which protects unauthorized attack...
In CRYPTO\u2719, Gohr introduced a novel cryptanalysis method by developing a differential-neural di...
At CRYPTO\u2719, Gohr built a bridge between deep learning and cryptanalysis. Based on deep neural n...
At CRYPTO’19, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64, ac...
While many similarities between Machine Learning and cryptanalysis tasks exists, so far no major res...
At CRYPTO\u2719, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64,...
Neural cryptanalysis is the study of cryptographic primitives through machine learning techniques. F...
Recent years have seen a major involvement of deep learning architecture in the cryptanalysis of var...
Differential cryptanalysis is an important technique to evaluate the security of block ciphers. Ther...
Machine learning aided cryptanalysis is an interesting but challenging research topic. At CRYPTO\u27...
Most of the traditional cryptanalytic technologies often require a great amount of time, known plain...
This paper studies the use of deep learning (DL) models under a known-plaintext scenario. The goal o...
Pseudorandomness is a crucial property that the designers of cryptographic primitives aim to achieve...
Abstract: Lightweight cryptography is a rapidly evolving area of research and it has great impact es...
In this paper we explore various approaches to using deep neural networks to per- form cryptanalysis...
An important part of a cryptosystem is a cryptographic algorithm, which protects unauthorized attack...