At the same time, concern about related data privacy and security is growing among industry, professionals and the public.

HE allows AI computation on encrypted data, enabling data scientists and researchers to gain valuable insights without decrypting the underlying data or models.

Wierzynski leads Intel’s privacy preserving machine learning efforts, including HE work and in developing industry standards for the technology’s use.

The criticism has been, okay, you can operate on encrypted data, but it takes you a million times longer than using regular data.

Processing encrypted data happens wherever the AI system needs to operate on sensitive data, typically in a data center. | To read full story, visit https://startuparound.com/read/1579212008.055578/Meet-the-new-twist-on-data-encryption-that-promises-better-privacy-and-security-for-AI?ref=audio_experience