Rima Alaifari: Catalogue data in Autumn Semester 2020

Name Prof. Dr. Rima Alaifari
FieldApplied Mathematics
Address
Seminar für Angewandte Mathematik
ETH Zürich, HG G 59.2
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 32 00
E-mailrima.alaifari@sam.math.ethz.ch
URLhttp://www.sam.math.ethz.ch/~rimaa
DepartmentMathematics
RelationshipAssistant Professor

NumberTitleECTSHoursLecturers
401-4660-70LRobustness of Deep Neural Networks Restricted registration - show details
Number of participants limited to 40
4 credits2SR. Alaifari
AbstractWhile deep neural networks have been very successfully employed in classification problems, their stability properties remain still unclear. In particular, the presence of so-called adversarial examples has demonstrated that state-of-the-art networks are extremely vulnerable to small perturbations in the data.
ObjectiveIn this seminar, we will consider the state-of-the-art in adversarial attacks and defenses.
Prerequisites / NoticeParticipants should already be familiar with the principles of deep neural networks. The course will also include programming that will require knowledge in using either PyTorch or Tensorflow.
401-5650-00LZurich Colloquium in Applied and Computational Mathematics Information 0 credits1KR. Abgrall, R. Alaifari, H. Ammari, R. Hiptmair, S. Mishra, S. Sauter, C. Schwab
AbstractResearch colloquium
Objective