On Adversarial Training & Robustness with Bhavna Gopal

An episode of the Thinking Machines: AI & Philosophy podcast, hosted by Daniel Reid Cahn, titled "On Adversarial Training & Robustness with Bhavna Gopal" was published on May 8, 2024 and runs 44 minutes.

May 8, 2024 ·44m · Thinking Machines: AI & Philosophy

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Summary

"Understanding what's going on in a model is important to fine-tune it for specific tasks and to build trust."Bhavna Gopal is a PhD candidate at Duke, research intern at Slingshot with experience at Apple, Amazon and Vellum.We discussHow adversarial robustness research impacts the field of AI explainability.How do you evaluate a model's ability to generalize?What adversarial attacks should we be concerned about with LLMs?

Episode Description

"Understanding what's going on in a model is important to fine-tune it for specific tasks and to build trust."

Bhavna Gopal is a PhD candidate at Duke, research intern at Slingshot with experience at Apple, Amazon and Vellum.

We discuss

How adversarial robustness research impacts the field of AI explainability.
How do you evaluate a model's ability to generalize?
What adversarial attacks should we be concerned about with LLMs?

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