Discover Privacy Preserving Machine Learning (PPML) with Fully Homomorphic Encryption (FHE) with Jordan Frery, Zama Research Scientist, who gave a @GoogleTechTalks - 17/01/2023.
-- Slides here: www.zama.ai/po... --
Abstract: In today's digital age, protecting privacy has become increasingly difficult. However, new developments such as Fully Homomorphic Encryption (FHE) provide a means of safeguarding sensitive client information. We are excited to present Concrete-ML (github.com/zam..., our open-source library that allows for the seamless conversion of Machine Learning (ML) models into their FHE counterparts. With our technology, clients can enjoy zero-trust interactions with service providers while also enabling the deployment of ML models on untrusted servers without compromising the privacy of user data.
Presenter: Jordan Frery, Zama Research Scientist.
Host: Google TechTalks ( • Privacy-Preserving Mac... )
-------------------
Subscribe to our channel @zama_fhe for more FHE content!
➡️ Discover what we do: www.zama.ai/
➡️ We are open-source: github.com/zam...
Find us here also:
LinkedIn: / zama-ai
Twitter: / zama_fhe
Community forum: community.zama...
Негізгі бет Privacy Preserving Machine Learning with Fully Homomorphic Encryption, Jordan Frery
Пікірлер: 1