UK-SPS Seminar - 23rd Feb Title: Trustworthy Machine Learning:

The UK-SPS Seminar 23rd February 2022

Title: Trustworthy Machine Learning: Robustness, Privacy, Generalization, and their Interconnections

Speaker: Bo Li (University of Illinois at Urbana-Champaign)

 Abstract: Advances in machine learning have led to rapid and widespread deployment of learning based inference and decision making for safety-critical applications, such as autonomous driving and security diagnostics. Current machine learning systems, however, assume that training and test data follow the same, or similar, distributions, and do not consider active adversaries manipulating either distribution. Recent work has demonstrated that motivated adversaries can circumvent anomaly detection or other machine learning models at test time through evasion attacks, or can inject well-crafted malicious instances into training data to induce errors in inference time through poisoning attacks. In this talk, I will describe my recent research about security and privacy problems in machine learning systems, with a focus on potential certifiably defense approaches via logic reasoning and domain knowledge integration with neural networks. We will also discuss other defense principles towards developing practical robust learning systems with robustness guarantees.

 Bio: Dr. Bo Li is an assistant professor in the Department of Computer Science at the University of Illinois at Urbana–Champaign. She is the recipient of the MIT Technology Review TR-35 award, Alfred P. Sloan Research Fellowship, NSF CAREER Award, Intel Rising Star award, Symantec Research Labs Fellowship, Rising Star Award, Research Awards from Tech companies such as Amazon, Facebook, Intel, and IBM, and best paper awards at several top machine learning and security conferences. Her research focuses on both theoretical and practical aspects of trustworthy machine learning, security, machine learning, privacy, and game theory. She has designed several scalable frameworks for robust machine learning and privacy-preserving data publishing systems. Her work has been featured by major publications and media outlets such as Nature, Wired, Fortune, and New York Times.

 Please feel free to forward to others who might be interested. 

 UK-SPS is an inter-university seminar series on cyber security and privacy. Seminar details are also advertised on our website, calendar and Twitter, and recordings will be available on our YouTube channel afterwards. 

Last modified: Mon, 28 Feb 2022 09:57:23 GMT