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On Adversarial Training & Robustness with Bhavna Gopal

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Manage episode 417205838 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

"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?
  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 417205838 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

"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?
  continue reading

22 episodes

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