The Fully Homomorphic Encryption Library (fhel) is a powerful encryption library that enables fully homomorphic encryption (FHE) capabilities. It provides a seamless integration with Flutter, allowing ...

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 ...

Alright, let's dive into privacy-preserving model inference—it’s kinda wild to think that your ai can now keep secrets, right? But it's also kinda essential, given how much sensitive data we're ...

Abstract: The application of Fully Homomorphic Encryption (FHE) is rapidly gaining traction as a means to maintain data confidentiality while performing computations on encrypted data. Given the ...

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 ...

Imagine a home security safe with a valuable necklace locked up inside. The owner wants to add a diamond to the pendant, but doesn’t want to open the door. That would be impossible. Yet in a crude ...

How FHE has evolved from a theoretical concept to a practical technology that’s ready for real-world applications. The unique benefits and challenges of implementing FHE, including why specialized ...

DataKrypto’s FHEnom for AI combines real-time homomorphic encryption with trusted execution environments to protect enterprise data and models from leakage, exposure, and tampering. AI is here – and ...

Moving data to the cloud is like sending your kids to camp; you hope they'll be safe, but deep down, you want to double-lock their suitcases. MIT researchers understand this parental—or rather, ...

A new technical paper titled “Leveraging ASIC AI Chips for Homomorphic Encryption” was published by researchers at Georgia Tech, MIT, Google and Cornell University. “Cloud-based services are making ...