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DTSTART:19700329T020000
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DTSTART:19701025T030000
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DTSTAMP:20250507T140720
UID:d4097632-2b3b-11f0-a9ec-000e0c3db68b
SUMMARY:Talk of Prof. Dr. Leon Bungert
DESCRIPTION:Abstract\nIn this talk I will present the latest developments in the analysis of adversarial machine\nlearning. For this I will build on the geometric interpretation of adversarial training as\nregularization problem for a nonlocal perimeter of the decision boundary. This perspective allows\none to use tools from calculus of variations to derive the asymptotics of adversarial training for\nsmall adversarial budgets as well as to rigorously connect it to a mean curvature flow of the\ndecision boundary. This is joint work with N. García Trillos, R. Murray, K. Stinson, and T.\nLaux.  \nBiographical Information\nLeon Bungert is Professor of Mathematics of Machine Learning at the University of Würzburg. In\n2020 he earned his PhD at the University of Erlangen under supervision of Martin Burger. His thesis\nwas awarded the Biennial French-German Mathematics in Imaging PhD Prize. In 2021 - 2023 he was a\npostdoctoral researcher at the Hausdorff Center for Mathematics of the University of Bonn, before\nbecoming a junior research group leader at the Technical University of Berlin and successively\nmoving to Würzburg in 2023. His research focuses on applied analysis and numerical methods for\nproblems in machine learning, with a special emphasis on robustness, sparse and non-smooth\noptimization, as well as partial differential equations on graphs.\n\n\n\n\n  
DTSTART;TZID=Europe/Berlin:20250514T093000
DTEND;TZID=Europe/Berlin:19700101T010000
LOCATION:Institute for Systems Theory and Automatic Control, , Seminar room 2.255, Pfaffenwaldring 9, 70569  Stuttgart, Campus Vaihingen
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof.-Dr.-Leon-Bungert/
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