Privacy professionals should pay closer attention to post-quantum cryptography as quantum-enabled attacks could eventually ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Dr Daniel Gardham is a Lecturer in the Surrey Centre for Cyber Security at the University of Surrey and Co-Director of Surrey’s Academic Centre of Excellence in Cyber Security Education (ACE-CSE). His ...

Homomorphic encryption has emerged as a pivotal tool for preserving data confidentiality in networked control systems, where sensors, controllers and actuators exchange sensitive information over ...

Abstract: This paper presents two efficient partially homomorphic encryption schemes built upon the approximate common divisor problem, believed to be resistant to quantum computer attacks. Both ...

Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become integral to many aspects of modern life. However, the vast amount of data they process is not ...

Here’s the best definition of zero-knowledge proofs I’ve found so far: A zero-knowledge proof (ZKP) is a powerful cryptographic protocol that allows one party (the prover) to convince another party ...