In this episode, we chat with Flavio Bergamaschi from IBM research about Fully Homomorphic Encryption (FHE). FHE allows for computation on encrypted data. First developed in 2009 at IBM, this tech has long been the considered only theoretically possible. However, as we learn in the interview, there have been strides made in the last few years and we are starting to see FHE technology being used in some real world applications.
In this interview, we discuss the origin of the technology, what it is, how it can be combined with other cryptographic techniques such as MPC and ZKPs, and applications for FHE technology being explored today.
Here are some relevant links:
IBM's Open Source Homomorphic Encryption Library (HElib) v1.0.0
Towards a Homomorphic Machine Learning Big Data Pipeline for the Financial Services Sector
Homomorphic Training of 30,000 Logistic Regression Models
Homomorphically Securing AI at the Edge
Article on IBM's FHE work with a Brazilian bank
Episode 63: Proxy re-encryption and FHE with NuCypher
Nigel Smart on Multi-Party Computation: From Theory to Practice
If you like what we do:
Follow us on Twitter - @zeroknowledgefm
Join us on Telegram
Support our Gitcoin Grant
Support us on the ZKPatreon
Or directly here:
ETH: 0xC0FFEE1B5083230a5154F55f253B6b6ae8F29B1a
BTC: 1cafekGa3podM4fBxPSQc6RCEXQNTK8Zz
ZEC: t1R2bujRF3Hzte9ALHpMJvY8t5kb9ut9SpQ