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Jahr: 2022
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  1. 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. …

  2. 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, …

  3. 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 …

  4. 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 …

  5. 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 …

  6. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), …

  7. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial …

  8. Christian Alrabbaa; Stefan Borgwardt; Anke Hirsch; Nina Knieriemen; Alisa Kovtunova; Anna Milena Rothermel; Frederik Wiehr

    In the Head of the Beholder: Comparing Different Proof Representations

    In: Guido Governatori; Anni-Yasmin Turhan (Hrsg.). Rules and Reasoning. International Joint Conference on Rules and Reasoning (RuleML+RR-2022), Cham, …

  9. Xiang Xu; Lu Wang; Arsène Pérard-Gayot; Richard Membarth; Cuiyu Li; Chenglei Yang; Philipp Slusallek

    Temporal Coherence-Based Distributed Ray Tracing of Massive Scenes

    In: IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 30, No. 2, Pages 1489-1501, IEEE, 11/2022.

  10. Thomas Stauner; Frédérik Blank; David Michael Fürst; Johannes Günther; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß

    SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes

    In: Proceedings of the 6th ACM Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2022), ACM, 12/2022.

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