For the past few years, the Internet of Things (IoT) technology continues to not only gain
popularity and importance, but also witnesses the true realization of everything being smart …

At CRYPTO'19, Gohr first introduces the deep learning-based cryptanalysis on round-
reduced SPECK. Using a deep residual network, Gohr trains several neural network-based …

With the recent advancements in machine learning (ML) theory, a lot of energy-efficient
neural network (NN) accelerators have been developed. However, their associated side …

Abstract Mixed Integer Linear Programming (MILP) solver has become one of the most
powerful tools of searching for cryptographic characteristics. It has great significance to study …

Cube attacks exploit the algebraic properties of symmetric ciphers by recovering a special
polynomial, the superpoly, and subsequently the secret key. When the algebraic normal …

Machine learning (ML) models can be trade secrets due to their development cost. Hence,
they need protection against malicious forms of reverse engineering (eg, in IP piracy). With a …

Privacy-preserving of medical information (such as medical records and images) is an
essential right for patients to ensure security against undesired access parties. This right is …

Nonlinear feedback shift registers (NFSRs) have been used in many recent stream ciphers.
They are generally classified into Fibonacci NFSRs and Galois NFSRs according to their …

This paper presents a quantum algorithm to decide whether a Boolean equation system F
has a solution and to compute one if F does have solutions with any given success …

Abstract Side Channel Attack (SCA) exploits the physical information leakage (such as
electromagnetic emanation) from a device that performs some cryptographic operation and …