On Adversarial Training & Robustness with Bhavna Gopal - podcast episode cover

On Adversarial Training & Robustness with Bhavna Gopal

May 08, 202444 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

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?
For the best experience, listen in Metacast app for iOS or Android
Open in Metacast
On Adversarial Training & Robustness with Bhavna Gopal | Thinking Machines: AI & Philosophy podcast - Listen or read transcript on Metacast