Styrkeområde Transport bjuder in till ett lunchseminarium med professor Xuegang (Jeff) Ban från University of Washington i Seattle som gästföreläsare.
Översikt
- Datum:Startar 4 juli 2023, 12:00Slutar 4 juli 2023, 13:00
- Plats:EDIT-rummet (3364), våning 3, Hörsalsvägen 11, Chalmers
- Språk:English
Tid
Tisdag 4 juli, 12:00-13:00 inklusive frågor och svar.
Lunchsmörgås serveras från kl 11:30 (anmälan krävs).
Värd
Balázs Kulcsár, styrkeområdesledare, styrkeområde Transport.
Målgrupp
Öppet för forskare och Göteborgs universitet.
Anmälan
Anmälan öppnar snart. Anmälan senast 26 juni.
PÅ ENGELSKA
Abstract
The growing reliance of intelligent transportation systems (ITS) on data and data-driven methods makes the systems vulnerable to data poisoning attacks that compromise machine learning or deep learning models by disrupting the input data.
In this talk, we define data poisoning attacks as sensitivity analysis of optimization problems over input data, and propose Lipschitz continuity based analysis and semi-derivative methods to analyze and solve data attack models. To defend poisoning attacks, we propose to leverage secure data from the infrastructure to develop robust anomaly detection methods to detect and mitigate the attacks. We illustrate the attack and defense methods using several urban ITS applications.
In this presentation, a framework is provided to better quantify and predict interactive human-vehicle decision-making, which can then be used to better inform the algorithms for advanced driver assistance systems.
Biografi
Dr. Xuegang (Jeff) Ban is the William and Marilyn Conner Endowed Professor with the Department of Civil and Environmental Engineering of the University of Washington. He received his B.S. and M.S. in Automotive Engineering from Tsinghua University, and his M.S. in Computer Sciences and Ph.D. in Civil Engineering (Transportation) from the University of Wisconsin at Madison.
His research interests are in Transportation Network System Modeling and Simulation, and Urban Traffic Modeling and Control. His recent work focuses on applying optimization, control, and ML/AI methods to the understanding and modeling of emerging technologies/systems in transportation such as Connected & Automated vehicles, New Mobility Services, and Transportation Electrification.
Dr. Ban is an Associate Editor of Transportation Research Part C, IEEE Transactions on Intelligent Transportation Systems, and Journal of Intelligent Transportation Systems, and serves on the editorial board of Transportation Research Part B. He received the 2011 CAREER Award from the National Science Foundation (NSF), and the New Faculty Award from the Council of University Transportation Centers (CUTC) and the American Road & Transportation Builders Association (ARTBA) in 2012. He is also the recipient of the Finalist of Franz Edelman Award (INFORMS) in 2017.
