Cryptographic systems often rely on the secrecy of cryptographic keys given to users. Many
schemes, however, cannot resist coercion attacks where the user is forcibly asked by an …

Researches in Artificial Intelligence (AI) have achieved many important breakthroughs,
especially in recent years. In some cases, AI learns alone from scratch and performs human …

Many techniques have been proposed to generate keys including text passwords, graphical
passwords, biometric data and etc. Most of these techniques are not resistant to coercion …

In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

Challenging the conventional wisdom that users cannot remember cryptographically-strong
secrets, we test the hypothesis that users can learn randomly-assigned 56-bit codes …

The design of leakage-resilient password systems (LRPSes) in the absence of trusted
devices remains a challenging problem today despite two decades of intensive research in …

Abstract In Crypto'19, Gohr proposed the first deep learning-based key recovery attack on 11-
round Speck32/64, which opens the direction of neural-aided cryptanalysis. Until now …

In CRYPTO'19, Gohr introduced a novel cryptanalysis method by developing a differential-
neural distinguisher using neural networks as the underlying distinguisher. He effectively …

In cryptography secret information is made unreadable for an unauthorized user. There are
many cryptographic algorithms are available, but they are more complex techniques and …

It is well-known that the protection of long-lived private keys in cryptographic schemes is one
of the most important issues for information security. Any cryptographic scheme that reveals …