Nicholas Carlini – Some Lessons from Adversarial Machine Learning скачать в хорошем качестве

Nicholas Carlini – Some Lessons from Adversarial Machine Learning

Nicholas Carlini from Google DeepMind on 'Some Lessons from Adversarial Machine Learning' at the Vienna Alignment Workshop. Key Highlights: Challenges in developing robust defenses Importance of learning from adversarial ML research Need for clear problem definitions and effective evaluations The Alignment Workshop is a series of events convening top ML researchers from industry and academia, along with experts in the government and nonprofit sectors, to discuss and debate topics related to AI alignment. The goal is to enable researchers and policymakers to better understand potential risks from advanced AI, and strategies for solving them. If you are interested in attending future workshops, please fill out the following expression of interest form to get notified about future events: https://far.ai/futures-eoi Find more talks on this YouTube channel, and at https://www.alignment-workshop.com/