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 and paper length. Accepted papers will appear in the CVPR workshop proceedings. 

Submission Deadline: March 20,  Anywhere on Earth (UTC-12) 

Extended Submission Deadline: March 25,  Anywhere on Earth (UTC-12) 

Author Notification: April 9

Camera ready due: April 13

Submission via CMT: https://cmt3.research.microsoft.com/SAIAD2024/

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 Committee.

• Abhishek Vivekanandan, FZI Forschungs Zentrum Informatik

• Alexander Binder, OvGU Magdeburg

• Andrea Kraus, Valeo

• Andreas Bär, Technische Universität Braunschweig

• Avisek Naug, Hewlett Packard Enterprise

• Chih-Hong Cheng, Fraunhofer IKS

• Claus Bahlmann, Siemens Mobility

• Cristiano Patrício, Universidade da Beira Interior

• Daniel Bogdoll, FZI Research Center for Information Technology

• Daniel deAlcala, Universidad Autónoma de Madrid

• Emmanouil Seferis, Fraunhofer IKS

• Federico Becattini, Università di Firenze

• Florian Ölsner, Spleenlab GmbH

• Frederik Pahde, Fraunhofer Heinrich Hertz Institute

• Galadrielle Humblot-Renaux, Aalborg University

• Gesina Schwalbe, University of Lübeck

• Hanno Gottschalk, Technical University Berlin

• Ignacio Serna, Max Planck Institute for Human Development

• Jasmin Breitenstein, Technische Universität Braunschweig

• Jeethesh Pai Umesh, TU Braunschweig

• Joachim Sicking, Fraunhofer IAIS

• Jonas Uhrig, Mercedes-Benz

• Karl Amende, Valeo

• Karsten Roscher, Fraunhofer IKS

• Konrad Groh, Bosch

• Mahmoud Salem, Karlsruhe Institute of Technology (KIT), Germany

• Marius Cordts, Mercedes-Benz AG

• Markus Enzweiler, Esslingen University of Applied Sciences

• Markus Ulrich, Karlsruhe Institute of Technology

• Martin Simon, Valeo

• Matthias Rottmann, University of Wuppertal

• Maximilian Schambach, Merantix Momentum

• Mert Keser, Technical University of Munich

• Michael Mock, Fraunhofer IAIS

• Naveen Shankar Nagaraja, BMW Group

• Nikhil Kapoor, CARIAD

• Oliver Wasenmüller, University of Applied Sciences Mannheim

• Peter Schlicht, Volkswagen Group Research

• René Schuster, DFKI

• Ross Greer, University of California, San Diego

• Sajad Mousavi, Hewlett Packard Enterprise

• Shyam Nandan Rai, Politecnico di Torino

• Sidharth Roy, Symbiosis Centre for Applied AI

• Sujan Sai Gannamaneni, Fraunhofer IAIS

• Thomas Stauner, BMW AG

• Tim Fingscheidt,  Technische Universität Braunschweig

• Timo Sämann, Valeo

• Yue Niu, University of Southern California