TWIML Presents: Differential Privacy

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This week on the podcast, we’re excited to present a series of interviews exploring the emerging field of Differential Privacy. Over the course of the week we’ll dig into some of the very exciting research and application work happening right now in the field.

Thanks to Georgian Partners for their continued support of the podcast and for sponsoring this series. Georgian Partners is a venture capital firm that invests in growth stage business software companies in the US and Canada. Post investment, Georgian works closely with portfolio companies to accelerate adoption of key technologies including machine learning and differential privacy. To help their portfolio companies provide privacy guarantees to their customers, Georgian recently launched its first software product, Epsilon, which is a differentially private machine learning solution. You’ll learn more about Epsilon in my interview with Georgian’s Chang Liu later this week, but if you find this field interesting, I’d encourage you to visit the differential privacy resource center they’ve set up at

TWIML Presents: Differential Privacy

TWIML Talk #132Differential Privacy Theory & PracticeAaron Roth, University of Pennsylvania
TWIML Talk #133Differential Privacy at BlueccoreZahi Karam, Bluecore
TWIML Talk #134Scalable Differential Privacy for Deep LearningNicolas Papernot, Penn State
TWIML Talk #135Epsilon Software for Private Machine LearningChang Liu, Georgian Partners
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