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

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 ...

Abstract: Fully homomorphic encryption supports meaningful computations on encrypted data, and hence, is widely used in cloud computing and big data environments. Recently, Li et al. constructed an ...

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 ...

Revenue for the quarter was $668,331 (2025 - $102,807), the increase driven primarily by development and integration fees along with the introduction of ongoing royalties from the release of DoMobile ...

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 ...