Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668

Today we’re joined by Ben Zhao, a Neubauer professor of computer science at the University of Chicago. In our conversation, we explore his research at the intersection of security and generative AI. We focus on Ben’s recent Fawkes, Glaze, and Nightshade projects, which use “poisoning” approaches to provide users with security and protection against AI encroachments. The first tool we discuss, Fawkes, imperceptibly “cloaks” images in such a way that models perceive them as highly distorted, effectively shielding individuals from recognition by facial recognition models. We then dig into Glaze, a tool that employs machine learning algorithms to compute subtle alterations that are indiscernible to human eyes but adept at tricking the models into perceiving a significant shift in art style, giving artists a unique defense against style mimicry. Lastly, we cover Nightshade, a strategic defense tool for artists akin to a 'poison pill' which allows artists to apply imperceptible changes to their images that effectively “breaks” generative AI models that are trained on them. The complete show notes for this episode can be found at twimlai.com/go/668.

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Delivering Neural Speech Services at Scale with Li Jiang - #522

Delivering Neural Speech Services at Scale with Li Jiang - #522

Today we’re joined by Li Jiang, a distinguished engineer at Microsoft working on Azure Speech.  In our conversation with Li, we discuss his journey across 27 years at Microsoft, where he’s worked on,...

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AI’s Legal and Ethical Implications with Sandra Wachter - #521

AI’s Legal and Ethical Implications with Sandra Wachter - #521

Today we’re joined by Sandra Wacther, an associate professor and senior research fellow at the University of Oxford.  Sandra’s work lies at the intersection of law and AI, focused on what she likes t...

23 Syys 202149min

Compositional ML and the Future of Software Development with Dillon Erb - #520

Compositional ML and the Future of Software Development with Dillon Erb - #520

Today we’re joined by Dillon Erb, CEO of Paperspace.  If you’re not familiar with Dillon, he joined us about a year ago to discuss Machine Learning as a Software Engineering Discipline; we strongly e...

20 Syys 202141min

Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519

Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519

Today we’re joined by Yanshuai Cao, a senior research team lead at Borealis AI. In our conversation with Yanshuai, we explore his work on Turing, their natural language to SQL engine that allows users...

16 Syys 202138min

Social Commonsense Reasoning with Yejin Choi - #518

Social Commonsense Reasoning with Yejin Choi - #518

Today we’re joined by Yejin Choi, a professor at the University of Washington. We had the pleasure of catching up with Yejin after her keynote interview at the recent Stanford HAI “Foundational Models...

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Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

Today we’re joined by Konrad Tollmar, research director at Electronic Arts and an associate professor at KTH.  In our conversation, we explore his role as the lead of EA’s applied research team SEED ...

9 Syys 202140min

Exploring AI 2041 with Kai-Fu Lee - #516

Exploring AI 2041 with Kai-Fu Lee - #516

Today we’re joined by Kai-Fu Lee, chairman and CEO of Sinovation Ventures and author of AI 2041: Ten Visions for Our Future.  In AI 2041, Kai-Fu and co-author Chen Qiufan tell the story of how AI cou...

6 Syys 202147min

Advancing Robotic Brains and Bodies with Daniela Rus - #515

Advancing Robotic Brains and Bodies with Daniela Rus - #515

Today we’re joined by Daniela Rus, director of CSAIL & Deputy Dean of Research at MIT.  In our conversation with Daniela, we explore the history of CSAIL, her role as director of one of the most pres...

2 Syys 202145min

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