Homomorphic encryption could change that since it makes it possible for data to be analyzed without jeopardizing privacy. This can impact many industries, including financial services, information ...

Dr. Archer is the CTO of Niobium Microsystems and a Principal Scientist leading Cryptography and Multiparty Computation at ...

This is the promise of fully homomorphic encryption (FHE), a technique that could let tech firms analyze your personal data without without being granted access to the original data itself.

Homomorphic encryption offers the ability to get this information without disclosing who the subject of the query is and instead hides this data from the entity that is processing the query.

Homomorphic encryption methods were first proposed by Ron Rivest, Leonard Adleman and Michael Dertouzos in a 1978 paper. That's two-thirds of the team that came up with the RSA algorithm.

For starters, homomorphic encryption is very compute-intensive. This is an area where Intel can really shine in terms of building optimized silicon to handle this fundamentally new way of computing.

Enthusiasm for homomorphic encryption has given rise to a cottage industry of startups estimated to be worth a combined $268.3 million by 2027.

Google has open-sourced a general-purpose transpiler able to convert high-level code to be used with Fully Homomorphic Encryption (FHE). While FHE is attracting a lot of interest from several ...