Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Swift Homomorphic Encryption implements a special form of cryptography called homomorphic encryption (HE). HE is a cryptosystem which enables computation on encrypted data. The computation is ...

Fully Homomorphic Encryption (FHE) allows data to be processed without ever being decrypted. This means a third party can run meaningful computations on encrypted information without seeing the ...

Abstract: In response to the security and privacy issues associated with sensing devices in contemporary crowd sensing systems, the paper proposes a crowd sensing networks method based on the MFHE ...

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 ...

RSA encryption is a major foundation of digital security and is one of the most commonly used forms of encryption, and yet it operates on a brilliantly simple premise: it's easy to multiply two large ...

Zama, a cryptography company pioneering fully homomorphic encryption (FHE) for blockchains, said it raised $57 million in a series B round co-led by Blockchange Ventures and Pantera Capital. The team ...

A researcher from the Google Quantum AI research team has estimated that a quantum computer with less than a million noisy qubits could undermine the security of RSA-2048 encryption that secures ...