Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing that can evade object detection. In our conversation, we focus on his more recent research on watermarking LLM output. We explore the motivations behind adding these watermarks, how they work, and different ways a watermark could be deployed, as well as political and economic incentive structures around the adoption of watermarking and future directions for that line of work. We also discuss Tom’s research into data leakage, particularly in stable diffusion models, work that is analogous to recent guest Nicholas Carlini’s research into LLM data extraction.

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Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60

Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60

The podcast you’re about to hear is the first of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest for this show is Solmaz Shahalizadeh, Director ...

30 Okt 201735min

Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59

We are back with our third show this week, episode 3 of our Autonomous Vehicles Series. My guest this time is Katie Driggs-Campbell, PostDoc in the Intelligent Systems Lab at Stanford University’s Dep...

27 Okt 201733min

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions...

25 Okt 201741min

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57

The episode you are about to hear is the first of a new series of shows on Autonomous Vehicles. We all know that self-driving cars is one of the hottest topics in ML & AI, so we had to dig a little de...

23 Okt 201747min

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human f...

16 Okt 201742min

AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52

AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. My guest for this show is Paul Tepper, worldwide head of cognitive innov...

6 Okt 201736min

ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. This time around, I speak with Mo Patel, practice director of AI & deep ...

6 Okt 201745min

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51

In this episode, I talk to Naveen Rao, VP and GM of Intel’s AI Products Group, and Scott Apeland, director of Intel’s Developer Network. It's been a few months since we last spoke to Naveen, so he giv...

6 Okt 201737min

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