Hadi Salman

Hadi Salman, a PhD student at MIT with experience at Uber and Microsoft Research, dives into the intriguing world of adversarial and unadversarial examples. He discusses how slight image alterations can mislead classifiers and explores innovative ways to flip this problem on its head. By designing unadversarial examples, Hadi aims to create more robust models. The conversation also touches on the balance between accuracy and robustness, as well as the potential of adversarial training to enhance transfer learning outcomes.