Go offline with the Player FM app!
On Adversarial Training & Robustness with Bhavna Gopal
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 30, 2025 21:11 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 417205838 series 3514761
"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?
27 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 30, 2025 21:11 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 417205838 series 3514761
"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?
27 episodes
すべてのエピソード
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.