A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Abstract: Homomorphic encryption (HE) has emerged as an ideal cryptographic technology for meaningful computations on encrypted data. Not only does HE secure private information even if the ciphertext ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...

June 29, 2026 Add as a preferred source on Google Add as a preferred source on Google Earlier in May, the Texas Attorney General’s office sued Meta for deceiving users on the level of security offered ...

Fhenix has announced the acquisition of Sunscreen, one of the earliest teams building with fully homomorphic encryption in Web3. As part of the acquisition, Sunscreen founder Ravital Solomon has ...

Vitalik Buterin wants to make on-chain voting actually private. Not “private with an asterisk,” not “private if you trust these five people,” but cryptographically private in a way that removes human ...

In our last issue, I wrote about smart cities and the growing debate over who owns the enormous amount of information they collect. This debate might help explain why a strange technology race is ...

Abstract: With the evolution of Internet infrastructure and network services, multilayer in-band network telemetry (ML-INT) and data analytics (DA) have been considered as key enabling techniques to ...