In this special episode, we feature Nathan Labenz interviewing Nicholas Carlini on the Cognitive Revolution podcast. Nicholas Carlini works as a security researcher at Google DeepMind, and has published extensively on adversarial machine learning and cybersecurity. Carlini discusses his pioneering work on adversarial attacks against image classifiers, and the challenges of ensuring neural network robustness. He examines the difficulties of defending against such attacks, the role of human intuition in his approach, open-source AI, and the potential for scaling AI security research.
00:00 Nicholas Carlini's contributions to cybersecurity
08:19 Understanding attack strategies
29:39 High-dimensional spaces and attack intuitions
51:00 Challenges in open-source model safety
01:00:11 Unlearning and fact editing in models
01:10:55 Adversarial examples and human robustness
01:37:03 Cryptography and AI robustness
01:55:51 Scaling AI security research
