Accepted papers will be published in IEEE Xplore!
We award the best paper with the SAIAD best Paper Award!
Call for Papers
We are soliciting high quality papers covering the topics listed below. Papers should follow the standard CVPR formatting instructions. Accepted papers will appear in the CVPR workshop proceedings.
Submission Deadline: March 10, Anywhere on Earth (UTC-12)
Extended Submission Deadline: March 16, Anywhere on Earth (UTC-12)
Author Notification: April 1
Camera ready due: April 6
Submission via CMT: https://cmt3.research.microsoft.com/SAIAD2023/
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
We follow a high quality review process with a notable Program Comittee.
Abhishek Vivekanandan, FZI
Ahmed Hammam, Opel Automobile GmbH
Andrea Kraus, Valeo
Andreas Bär, TUB
Benedict Stephan, TU-Ilmenau
Benjamin Hartmann, Siemens Mobility
Christian Wojek, Zeiss Research
Christof Hoppe, Siemens Mobility
Claus Bahlmann, Siemens Mobility
Daniel Bogdoll, FZI
Federico Becattini, Università di Firenze
Gesina Schwalbe, Continental
Hanno Gottschalk, University of Wuppertal
Irina Vidal Migallón, Siemens Mobility GmbH
Jasmin Breitenstein, Technische Universität Braunschweig
Joachim Sicking, Fraunhofer
Karl Amende, Valeo
Karsten Roscher, Frauenhofer IKS
Konrad Groh, Bosch
Krystian Radlak, Warsaw University of Technology
Mahmoud Salem, KIT
Markus Enzweiler, University of Applied Sciences Esslingen
Martin Simon, Valeo
Matthias Rottmann, University of Wuppertal
Naveen Shankar Nagaraja, BMW Group
Oliver Wasenmüller, University of Applied Sciences Mannheim
Peter Schlicht, Cariad
Phillip Heidenreich, Opel
Praneet Dutta, DeepMind, Google AI
Ravi Kiran, Navya
René Schuster, DFKI
Sebastian Schulze, Merantix
Senthil Yogamani, Qualcomm
Shyam Nandan Rai, Politecnico di Torino
Stefan Milz, Spleenlab.ai / Ilmenau University
Thomas Stauner, BMW AG
Tim Fingscheidt, Technische Universität Braunschweig
Timo Sämann, Valeo