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 (author guidelines). Accepted papers will appear in the CVPR workshop proceedings. 

Submission Deadline: March 12, 2025

Extended Submission Deadline: March 16, 2025 (Anywhere on Earth)

Author Notification: March 30, 2025

Camera ready due: April 14, 2025

Submission via CMT*: https://cmt3.research.microsoft.com/SAIAD2025/

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.

• Abdul Hannan Khan (German Research Center for Artificial Intelligence (DFKI))

• Abhishek Vivekanandan, FZI Forschungs Zentrum Informatik

• Alexander Binder, OvGU Magdeburg

• Andrea Kraus, Valeo

• Andreas Bär, Technische Universität Braunschweig

• Claus Bahlmann, Siemens Mobility

• Cristiano Patrício, Universidade da Beira Interior

• Daniel deAlcala, Universidad Autónoma de Madrid

• Emmanouil Seferis, Fraunhofer IKS

• Fabian Oboril (Intel)

• Fahad Albalawi (SDAIA)

• Fatemeh Amerehi (University of Limerick)

• Federico Becattini, Università di Firenze

• Gesina Schwalbe, University of Lübeck

• Hakan Yatbaz (University of Warwick)

• Hanno Gottschalk, Technical University Berlin

• Ignacio Serna, Max Planck Institute for Human Development

• Jing Li (Tsinghua University)

• Joachim Sicking, Fraunhofer IAIS

• Joakim Johnander (Linköping University);

• Jonas Uhrig, Mercedes-Benz

• Karsten Roscher, Fraunhofer IKS

• Konrad Groh, Bosch

• Konstantin Kirchheim (OvGU Magdeburg)

• Krystian Radlak (Warsaw University of Technology)

• Maram Akila (Fraunhofer IAIS)

• Markus Enzweiler, Esslingen University of Applied Sciences

• Marion Neumeier (Technische Hochschule Ingolstadt)

• Martin Meinke (Robert Bosch)

• Martin Rabe (Technische Universität Ilmenau)

• Mert Keser, Technical University of Munich

• Michael Botsch (Technische Hochschule Ingolstadt)

• Neslihan Kose Cihangir (Intel Deutschland GmbH)

• Nikhil Kapoor, CARIAD

• Nilaksh Nilaksh (IIT Kharagpur)

• Lakshit Arora (Google)

• Lena Heidemann (Fraunhofer IKS)

• Luca Mossina (IRT Saint Exupéry)

• Oliver Wasenmüller, University of Applied Sciences Mannheim

• Paul Melki (EXXACT Robotics + IMS, CNRS, University of Bordeaux)

• Pallavi Mitra (Continental AG)

• Peter Schlicht, Volkswagen Group Research

• Rajesh Vayyala (PRA Group Inc)

• René Schuster, DFKI

• Ruben Tolosana, Universidad Autonoma de Madrid

• Sajad Mousavi, Hewlett Packard Enterprise

• Sebastian Dorn (Technical University of Applied Sciences Augsburg)

• Shyam Nandan Rai, Politecnico di Torino

• Sujan Sai Gannamaneni, Fraunhofer IAIS

• Svetlana Pavlitska (FZI Research Center for Information Technology)

• Syed Tahseen Raza Rizvi (DFKI)

• Thomas Stauner, BMW AG

• Timo Sämann, Valeo

• Victor Kallenbach (Spleenlab GmbH)

*CMT Acknowledgement

The Microsoft CMT service will be used for managing the peer-reviewing process for this workshop. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud service as well as for software development and support.