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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Data Governance for Data Science with Adam Wood - #578

Data Governance for Data Science with Adam Wood - #578

Today we’re joined by Adam Wood, Director of Data Governance and Data Quality at Mastercard. In our conversation with Adam, we explore the challenges that come along with data governance at a global s...

13 Juni 202239min

Feature Platforms for Data-Centric AI with Mike Del Balso - #577

Feature Platforms for Data-Centric AI with Mike Del Balso - #577

In the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, yo...

6 Juni 202246min

The Fallacy of "Ground Truth" with Shayan Mohanty - #576

The Fallacy of "Ground Truth" with Shayan Mohanty - #576

Today we continue our Data-centric AI series joined by Shayan Mohanty, CEO at Watchful. In our conversation with Shayan, we focus on the data labeling aspect of the machine learning process, and ways ...

30 Maj 202251min

Principle-centric AI with Adrien Gaidon - #575

Principle-centric AI with Adrien Gaidon - #575

This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, ...

23 Maj 202247min

Data Debt in Machine Learning with D. Sculley - #574

Data Debt in Machine Learning with D. Sculley - #574

Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in ...

19 Maj 202236min

AI for Enterprise Decisioning at Scale with Rob Walker - #573

AI for Enterprise Decisioning at Scale with Rob Walker - #573

Today we’re joined by Rob Walker, VP of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us ...

16 Maj 202239min

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the Wiki...

12 Maj 202241min

Studying Machine Intelligence with Been Kim - #571

Studying Machine Intelligence with Been Kim - #571

Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretabi...

9 Maj 202252min

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