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Publikationen

Zeige Ergebnisse 1371 bis 1380 von 14740.

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

    Defending Our Privacy with Backdoors

    In: ECAI 2024. European Conference on Artificial Intelligence (ECAI-2024), 27th European Conference on Artificial Intelligence, October 19-24, Santiago de Compostela, Spain, Vol. 392, ISBN 978-1-64368-548-9, IOS Press, 10/2024.

  2. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinaros Passos

    LEDITS++: Limitless Image Editing using Text-to-Image Models

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024.

  3. 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.

  4. 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.

  5. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  6. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  7. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  8. Aljoscha Burchardt; Jochen Büttner; Jürgen Renn

    Zukunftsszenarien für alle

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath. Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE. Pages 271-284, ISBN 978-3-658-44852-3, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

  9. Shashank Govindaraj; Wiebke Brinkmann; Francisco Javier Colmenero; Irene Sanz Nieto; Alexandru But; Matteo De Benedetti; Leon Cedric Danter; Mercedes Alonso; Enrique Heredia; Simon Lacroix; Dominik Kleszczynski; Joseph Purnell; Kevin Picton; Nabil Aouf; Luis Lopes

    Building a Lunar Infrastructure with the Help of a Heterogeneous (Semi)Autonomous Multi-robot-Team

    In: Xiu Tian Yan; Gianfranco Visentin. Space Robotics: The State of the Art and Future Trends. Pages 395-431, ISBN 978-3-031-39214-6, Springer Nature Switzerland, Cham, 2024.

  10. Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas

    I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, Association for Information Systems, 2024.

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