Homomorphic Encryption

topic on 2 shows · 3 statements across 2 episodes

the MAD Podcast the a16z Podcast

3 statements about Homomorphic Encryption, every show

MAD Assertion Partly supported
In 2009, an encrypted bitwise AND operation took half an hour
“Whereas in, in the old days, it would take, for example, you know, when the homework for crypto was first discovered, it basically took a half hour to run a bitwise AND on encrypted data.”
Kurt Rohloff Oct 22, 2019 ▶ 5:21 Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
MAD Disclosure
Duality runs sub-second genome-wide association studies on encrypted NIH data
“We're actually at a point now where we're actually encrypting genomic data for NIH and running full-on genome-wide association studies on encrypted genomic data with, ah, sub-second response times.”
Kurt Rohloff Oct 22, 2019 ▶ 5:51 Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
a16z Assertion Supported
Carlson-Wee: Homomorphic encryption enables machine learning on private, encrypted user data
“One interesting intersection is homomorphic encryption, which allows you to train a machine learning system based on data that you actually don't know the plain text, so you only see the encrypted version. It allows people to say, okay, I'm going to share the …”
Olaf Carlson-Wee May 8, 2019 ▶ 45:34 Seven Trends in Blockchain Computing (Spring 2019)

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