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Publications

Displaying results 161 to 170 of 678.

  1. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  2. Donglin Wang; Anjie Qiu; Qiuheng Zhou; Hans Dieter Schotten

    A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

    In: Proceedings of the 11th IEEE World Forum on Internet of Things (IoT). IEEE World Forum on Internet of Things (IEEE WFIoT-2025), October 27-30, Chengdu, China, IEEE, 2025.

  3. David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe; Andreas Dengel

    Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI

    In: Transactions on Machine Learning Research (TMLR), 1/2026.

  4. Nael Jaber; Bilal Wehbe; Leif Christensen; Frank Kirchner

    MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar

    In: Tamim Asfour; Abhinav Valada (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 10, Pages 8762-8769, IEEE, 2025.

  5. Andrey Guzhov; Tobias Wirth

    Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics

    In: Academic Conferences International (ACI) (Hrsg.). Proceedings of the 24th European Conference on Cyber Warfare and Security. European Conference on Cyber Warfare and Security (ECCWS-2025), 24th European Conference on Cyber Warfare and Security, located at ECCWS-2025, June 26-27, Kaiserslautern, Germany, Pages 169-176, Vol. 24, No. 1, ACI, 2025.

  6. Arnab Das; Carlos Franzreb; Tim Polzehl; Sebastian Möller

    Exploring Foundation Model Fusion Effectiveness and Explainability for Stylistic Analysis of Emotional Podcast Data

    In: Advances in Information and Communication. Future of Information and Communication Conference (FICC-2025), located at FICC-2025, March 4-5, Berlin, Germany, Springer Nature, Switzerland, 2025.

  7. Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Igor Ruiz Atake; Sakina-Dorothée Ayata; Amanda Calatrava; Marco Mariano De Carlo; Wout Decrop; Donatello Elia; Sandro Luigi Fiore; Marco Francescangeli; Jesús Soriano-González; Jean-Olivier Irisson; Martin Laviale; Rune Lagaisse; Antoine Lebeaud; Carolin Leluschko; Germán Moltó; Antonio Augusto Sepp Neves; Enoc Martinez; Damian Smyth; Muhammad Arabi Tayyab; Vanessa Tosello; Alvaro Lopez Garcia; Dick Schaap; Gergely Sipos

    Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study

    In: Ecological Informatics, Vol. 91, Pages 1-37, Elsevier, Amsterdam, 7/2025.

  8. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  9. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  10. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

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