IEEE

LEAM: A Low-Area and Efficient Accelerator of Matrix-Vector Multiplication for Homomorphic Encryption

Abstract: Homomorphic encryption (HE) is regarded as one of the most promising techniques for privacy-preserving computing. However, the enormous data and computations form the bottleneck of its ...
IEEE

Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques

Abstract: The rapid expansion of cloud computing underscores the critical need for advanced security measures to protect sensitive data on remote servers. Authentication is crucial for safeguarding ...

MicroAlgo Inc.'s Quantum Image Encryption Technology Based on Quantum Image XOR Operation Delivers Reliable Protection for Highly Sensitive Image Data

MicroAlgo Inc. (the "Company" or "MicroAlgo", NASDAQ: MLGO) has developed a quantum image XOR encryption algorithm built on quantum mechanical principles to deliver reliable protection solutions for ...
The New York Times

4 Easy Ways to Make Sure No One Can Read Your Text Messages

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Max Eddy Max Eddy is a writer who has covered privacy and security — including ...
CNBC

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...