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Publikationen

Zeige Ergebnisse 41 bis 50 von 795
  1. Xuan Xie; Kristian Kersting; Daniel Neider

    Neuro-Symbolic Verification of Deep Neural Networks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on …

  2. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    To Trust or Not To Trust Prediction Scores for Membership Inference Attacks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on …

  3. Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting

    Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

    In: Kamalika Chaudhuri; Stefanie Jegelka; Le Song; Csaba Szepesvári; Gang Niu; Sivan Sabato (Hrsg.). International Conference on Machine Learning. …

  4. Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting

    CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, …

  5. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International …

  6. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and …

  7. 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 …

  8. Philipp Woock; Ajish Babu

    Autonome Robotersysteme in der Altlastensanierung

    In: Volker Franzius; Michael Altenbockum; Thomas. Gerhold (Hrsg.). Handbuch Altlastensanierung und Flächenmanagement, Vol. 93. Aktualisierung, 3. …

  9. Serious Games with SIAs

    In: Birgit Lugrin; Catherine Pelachaud; David Traum. The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational …

  10. Silvan Mertes; Alexander Heimerl; Tanja Schneeberger; Tobias Baur; Ailin Liu; Linda Becker; Nicolas Rohleder; Patrick Gebhard; Elisabeth André

    Generating personalized behavioral feedback for a virtual job interview training system through adversarial learning

    In: Proceedings of the 23rd International Conference on Artificial Intelligence in Education. International Conference on Artificial Intelligence in …