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

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...

IBM pulled the covers off new technology today that uses optical character recognition to conceal data. The data masking tool ...

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 ...

As society moves toward constant recording, such as with walking recorders, privacy technology will evolve as both "ethics and technology working in tandem." 🔐 1 ...

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

GigaWiper is a destructive backdoor that combines multiple wiping and ransomware-like capabilities into a single operational ...

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 ...

Abstract: The consortium blockchain is being utilized in supply chains on the Internet of Things (IoT) for tracking and protecting supply chain data, such as manufacture, storage, and shipment.

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 ...