The Robot Brains Podcast

Raluca Ada Popa: how to train AI and keep your data confidential

Apr 12, 2023

56:08

Creator website

Episode guests

Raluca Ada Popa

AI Chapters

Episode notes

Introduction

2min

The Importance of Confident Computing in AI Security

2min

How to Use Confidential Computing to Catch Money Launderers

5min

How to Train a Neural Network

2min

The Differential Privacy Aspect of Neural Networks

3min

How to Train Across Multiple Hospitals in the Cloud

2min

The Future of Confidential Computing

3min

The Origins of Databricks

2min

Building Trust and Thought Leadership With Open Source

3min

10.

The Future of Encryption in the Defense Sector

2min

11.

The High Level Intuition of the Preval Technology

2min

12.

The Importance of Usability in Encrypting Data

2min

13.

How to Prevent an Attacker From Accessing Your Data on Your Phone

2min

14.

The Future of AI and Security

3min

15.

Differential Privacy in a Regular Neural Net Training Process

2min

16.

The Intuition of Deep Learning Neural Networks

4min

17.

How I Got Started in Computer Science

3min

18.

The Influence of My Mom on My Interest in Reasoning

2min

19.

The Power of Coding While Drinking Red Wine

3min

20.

The Importance of Intelligence in Recruiting Students

3min

21.

How to Engage Undergraduate Researchers From All Backgrounds

2min

22.

How to Transfer Your Undergrad Research to Other Schools

2min

23.

How to Raising a One Year Old Daughter

2min

Raluca Ada Popa from UC Berkeley, Opaque Systems, PreVeil joins Host Pieter Abbeel to discuss data privacy and AI, cloud enclaves, confidential and encrypted computing, differential privacy, PreVeil, and Opaque Systems.

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