Machine learning now touches some of the most sensitive information people generate, from medical records to financial ...

Homomorphic encryption (HE) and federated learning (FL) are two different but related technologies that aim to solve the same problem: How can AI tasks such as machine learning be performed more ...

A systematic study of 603,000 configurations shows that optimization algorithms can find Newton–Raphson starting values for homomorphic division and square root far faster and with shallower c ...

Now imagine another approach: instead of letting the jewelers have your pile of raw gold, it stays inside a locked box. Only you have the key. By inserting their hands into the box, the jeweler can ...

The pace of cloud adoption is relentless. Companies across every industry are racing to move their infrastructures to scalable, flexible, cloud-native environments. But as organizations go all-in on ...

Homomorphic encryption is the conversion of data into ciphertext that can be analyzed and worked with as if it were still in its original form. Homomorphic encryption enables complex mathematical ...

Quantum-resilient cryptography took a step forward this week with the launch of the FHE Technical Consortium for Hardware (FHETCH), a group focused on interoperability between fully homomorphic ...

Modern cryptography is embedded in countless digital systems and components. It's an essential tool for keeping data secure and private. Yet one of the biggest limitations with cryptography, including ...

Data theft and data loss is an endemic problem on the internet. According to the firm Risk Based Security (via TechRepublic), 2020 alone saw 3,932 publicly disclosed breaches with 37 billion records ...