A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Credential theft surged by 160% in 2025, contributing to one in five data breaches as attackers employed AI-driven attacks to bypass traditional defenses. The challenge for security teams has evolved ...
Abstract: In this paper, a homomorphically encrypted robust model predictive control (HERMPC) is proposed to address privacy and security concerns in the cloud-based control of polytopic uncertain ...
In our last issue, I wrote about smart cities and the growing debate over who owns the enormous amount of information they collect. This debate might help explain why a strange technology race is ...
14A PDKs; 2nm funding; memory deal; optimizing EUV output; KGD screening; McKinsey’s auto chips report; HW security exploits; humanoids; H-1B policy; diamonds for heat; Europe’s IC progress; imec’s ...
On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...
This repository contains the implementation of the paper "High-Precision Functional Bootstrapping for CKKS from Fourier Extension", built on the OpenFHE library. The source code for the test ...
Nonlinear Systems,Optimal Control,Multi-agent Systems,Neural Network,Control Problem,Control Strategy,Adaptive Control,Lyapunov Function,Tracking Error,Adaptive Law ...
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