Call for Papers

Call for Papers

We are soliciting high quality papers covering the topics listed below. Papers should follow the standard CVPR formatting instructions. Paper length should be 4 to 8 pages according to the CVPR format. Accepted papers will appear in the CVPR workshop proceedings.

Submission deadline: Extended to March 22, 2020, Anywhere on Earth (UTC-12)

Submission via CMT: https://cmt3.research.microsoft.com/SAIAD2020

Topics of Interest

The topics of interest include (but are not limited to):

• Interpretable and explainable Deep Neural Networks

• Standardization in Safe AI

• Ethics and legal aspects in Safe AI

• Safe Deep Neural Network design

• Certification of DNNs

• Detection of out-of-distribution data

• Robustness to anomalies / out-of-distribution data / adversarial examples

• Uncertainty modeling

• Transparent DNN training

• Integrating legal requirements

• Novel evaluation schemes

Program Committee

We follow a high quality review process with a notable program committee.

• Andrea Kraus, Valeo

• Frank Hafner, ZF Friedrichshafen AG

• Hanno Gottschalk, University of Wuppertal

• Joachim Sicking, Fraunhofer IAIS

• Karl Amende, Valeo

• Loren Schwarz, BMW

• Mario Fritz, CISPA Helmholtz Center for Information Security

• Marius Cordts, Daimler

• Mark Schutera, ZF Friedrichshafen AG

• Markus Enzweiler, Daimler R&D

• Martin Simon, Valeo

• Naveen Shankar Nagaraja, BMW Group

• Oliver Grau, Intel

• Oliver Scheel, BMW

• Oliver Wasenmüller, HS Mannheim

• Peter Pinggera, Daimler R&D

• Peter Schlicht, Volkswagen Group Research

• Philipp Heidenreich, Opel

• Qing Rao, BMW AG

• René Schuster, DFKI

• Sebastian Wirkert, BMW

• Senthil Yogamani, Valeo Vision Systems

• Seyed Ghobadi, Opel

• Stefan Milz, Spleenlab.ai / Ilmenau University

• Stefan Wrobel, University of Bonn

• Thao Dang, HS Esslingen

• Timo Saemann, Valeo

• Xavier Perrotton, Valeo