Nathan Labenz

Nicholas Carlini, a security researcher at Google DeepMind, shares his expertise in adversarial machine learning and cybersecurity. He reveals intriguing insights about adversarial attacks on image classifiers and the complexities of defending against them. Carlini discusses the critical role of human intuition in developing defenses, the implications of open-source AI, and the evolving risks associated with model safety. He also explores how advanced techniques expose vulnerabilities in language models and the balance between transparency and security in AI.