Motivation and Objectives
Harnessing the power of machine learning to continuously monitor and detect anomalies advances the state of the art in instrumentation control. Learning-enabled systems have been rapidly increasing in size and acquiring new capabilities. These systems are typically deployed in complex operating environments, so their safety becomes extremely important. Ensuring safety requires that systems are robust to extreme events while we can monitor them for anomalous and unsafe behavior. While traditional machine learning systems are evaluated pointwise with respect to a fixed test set, such static coverage provides only limited assurance when exposed to unprecedented conditions in complex operating environments. One key question that remains unanswered is “how can we design and deploy learning-enabled systems that can be robust to extreme events while monitoring them for anomalous and unsafe behavior?” Indeed, given the increasing deployment of learning-enabled systems in various critical applications, guaranteeing security and safety of these systems has been an active research topic in different communities (e.g., control and machine learning) and has received a great interest from many funding agencies (e.g., NSF through the recent Safe Learning-Enabled Systems program).
The objective of this workshop is to bring leading researchers (including 2 NAE members and 3 female professors) in safe and secure learning-based control and verification, to discuss the latest developments, future directions, and explore possible novel directions in the intersection of learning, optimization, and game theory areas.
The workshop will feature one plenary talk (1 hour) and 9 half an hour talks. The workshop will conclude with a panel discussion on future research topics for safety and security of learning enabled systems.
Invited Speakers (order they appear in the schedule)
Alberto L. Sangiovanni-Vincentelli (UC Berkeley), John Baras (University of Maryland, College Park), Naira Hovakimyan (UIUC), George Pappas (U Pen), Thomas Parisini (Imperial), Alessandro Astolfi (Imperial), Kyriakos G. Vamvoudakis (GaTech), Melanie Zeilinger (ETH), Majid Zamani (CU Boulder), Necmiye Ozay (U. Mich)
Tentative Schedule
9:00 AM - 5:30 PM
Organizers
Thinh T. Doan (University of Texas at Austin), Kyriakos G. Vamvoudakis (Georgia Tech)
Contact: thinhdoan@utexas.edu and kyriakos@gatech.edu