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.

Avsnitt(778)

Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

Today we’re joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardw...

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Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560

Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560

Today we’re joined by Kamyar Azizzadenesheli, an assistant professor at Purdue University, to close out our AI Rewind 2021 series! In this conversation, we focused on all things deep reinforcement lea...

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Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559

Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559

Today we’re joined by Rishabh Agarwal, a research scientist at Google Brain in Montreal. In our conversation with Rishabh, we discuss his recent paper Deep Reinforcement Learning at the Edge of the St...

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Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558

Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558

Today we’re joined by Rafael Gomez-Bombarelli, an assistant professor in the department of material science and engineering at MIT. In our conversation with Rafa, we explore his goal of ​​fusing machi...

7 Feb 202253min

Differentiable Programming for Oceanography with Patrick Heimbach - #557

Differentiable Programming for Oceanography with Patrick Heimbach - #557

Today we’re joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and oceanography. In our conversation with Patrick, we explore some of the challenges o...

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Trends in Machine Learning & Deep Learning with Zachary Lipton - #556

Trends in Machine Learning & Deep Learning with Zachary Lipton - #556

Today we continue our AI Rewind 2021 series joined by a friend of the show, assistant professor at Carnegie Mellon University, and AI Rewind veteran, Zack Lipton! In our conversation with Zack, we tou...

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Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555

Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555

Today we’re joined by Jonathan Le Roux, a senior principal research scientist at Mitsubishi Electric Research Laboratories (MERL). At MERL, Jonathan and his team are focused on using machine learning ...

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Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Today we’re joined by Karianne Bergen, an assistant professor at Brown University. In our conversation with Karianne, we explore her work at the intersection of earthquake seismology and machine learn...

20 Jan 202235min

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