A comprehensive, production-grade FHEVM Example Hub repository demonstrating how to build standalone, Hardhat-based fully homomorphic encryption examples with clean tests, automated scaffolding, and ...

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

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...

We don’t know exactly what he said, but in 1971, Ray Tomlinson used Arpanet to send the first email ever. You can bet he was only thinking about getting the message to its destination, not about ...

Abstract: Homomorphic encryption (HE) is a groundbreaking cryptographic method that allows calculations on encrypted data without the need for decryption, thus safeguarding privacy and security. This ...

In the following example, I will use MSFvenom to generate a Windows shellcode to execute calc.exe and use ZYPE to do the IPv6 obfuscation. Let's first generate the shellcode. This will generate the ...