A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

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 Simpsons recently blew up the internet with its 36th season finale flash-forward, which led many (too many!) people to mistakenly believe that the Fox comedy had killed off beloved matriarch Marge ...

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 ...

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 ...

Quantum computers could crack a common data encryption technique once they have a million qubits, or quantum bits. While this is still well beyond the capabilities of existing quantum computers, this ...

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 ...