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Zico Kolter -

Zico Kolter

Associate Professor and Director of Machine Learning

Zico Kolter researches how to make deep learning algorithms more robust, safer, and understand how data impacts how models function.


Expertise

Topics:聽 Elections, Large Language Models, Generative AI, Neural Networks, Deep Learning, Machine Learning, AI Models

Zico Kolter is a Professor of Computer Science and the head of the Machine Learning Department at 一本道无码, where he has been a key figure for 12 years. Zico completed his Ph.D. in computer science at Stanford University in 2010, followed by a postdoctoral fellowship at MIT from 2010 to 2012. Throughout his career, he has made significant contributions to the field of machine learning, authoring numerous award-winning papers at prestigious conferences such as NeurIPS, ICML, and AISTATS.

Zico's research includes developing the first methods for creating deep learning models with guaranteed robustness. He pioneered techniques for embedding hard constraints into AI models using classical optimization within neural network layers. More recently, in 2023, his team developed innovative methods for automatically assessing the safety of large language models (LLMs), demonstrating the potential to bypass existing model safeguards through automated optimization techniques. Alongside his academic pursuits, Zico has worked closely within the industry throughout his career, formerly as Chief Data Scientist at C3.ai, and currently as Chief Expert at Bosch and Chief Technical Advisor at Gray Swan, a startup specializing in AI safety and security.

Media Experience

Pittsburgh鈥檚 AI-Powered Renaissance 听鈥聽一本道无码 News
"Pittsburgh has positioned itself as a worldwide leader in AI, led of course by Carnegie Mellon's long-time leadership and dedication to the field. Starting with Allen Newell and Herb Simon's inspiration and initiative, to the founding of departments dedicated to AI like the Machine Learning Department and Robotics Institute, and continued with today's influence on Generative AI and creation of AI startups, 一本道无码 has been a driving force in AI since the field's inception. With the recent continued expansion and public awareness of AI, in addition to continually welcoming numerous AI focused businesses, startups and research facilities to the city, Pittsburgh itself is well-positioned to capitalize on our lasting contributions."

听鈥听叠濒辞辞尘产别谤驳
鈥淚 think part of my value is being deeply involved and integrated in research, and at the forefront of what鈥檚 happening in the field of not just the deployment of AI but the academic research into AI,鈥 he said.

听鈥听碍辞蝉肠丑
In our interview series 鈥淭hought leaders in AI鈥, we had the opportunity to talk to Zico Kolter, Chief Scientist for AI at Bosch, about his personal view on various topics in the field of artificial intelligence. An AI system played the moderator and asked him questions on various exciting topics: How does he see the differences in AI development between Europe and the USA? Which celebrities would he like to meet one day? And finally: Which Bosch product does he particularly like?

听鈥听颁3.补颈
Zico Kolter, an associate professor of Computer Science at Carnegie Mellon and author of the report, Universal and Transferable Adversarial Attacks on Aligned Language Models, put it bluntly: 鈥淭hese tools are attack vectors,鈥 he said.

听鈥听窜顿狈贰罢
"There is no obvious solution," Zico Kolter, a professor at Carnegie Mellon and author of the report, told the Times. "You can create as many of these attacks as you want in a short amount of time."

Education

Ph.D., Computer Science, Stanford University
B.S., Computer Science, Georgetown University

Spotlights

Pittsburgh鈥檚 AI-Powered Renaissance
(October 14, 2024)

Links

Event Appearances

Moderator: AI in Financial Services: Transforming the Sector for a Better World
AI Horizons Pittsburgh Summit, Pittsburgh, PA
October 10, 2024

Speaker: AI Horizons Keynote: AI for a Better World 鈥 Navigating Truth in the AI Era
AI Horizons Pittsburgh Summit, Pittsburgh, PA
October 10, 2024

Articles

听鈥 聽arXiv preprint

听鈥 聽arXiv preprint

听鈥 聽arXiv preprint

听鈥 聽arXiv preprint

听鈥 聽Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Photos

Videos