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

Abstract: The Multi-Key Fully Homomorphic Encryption (MKFHE) based on the NTRU cryptosystem is an important alternative to the post-quantum cryptography due to its simple scheme form, high efficiency, ...

Abstract: Federated Learning (FL) is widely used in various industries because it effectively addresses the predicament of isolated data island. However, eavesdroppers is capable of inferring user ...

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 ...

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 ...

June 11, 2026) - 01 Quantum Inc. (TSXV: ONE) (OTCQB: OONEF) ("01 Quantum" or the "Company"), one of the first-to-market, enterprise level cybersecurity providers for the quantum computing era, is ...

Artificial intelligence is rapidly transforming businesses and society, unlocking new opportunities while introducing complex challenges around data privacy, regulation, and trust. In this evolving ...

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...

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 ...

The information exchanged by modern devices is typically protected by cryptographic techniques, approaches that convert readable data into scrambled, unreadable code that can only be deciphered by ...