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Publications

Displaying results 1481 to 1490 of 14486.

  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. International Conference on Machine Learning (ICML-2022), July 17-23, Baltimore, Maryland, USA, Pages 20522-20545, Proceedings of Machine Learning Research, Vol. 162, PMLR, 2022.

  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, OpenReview.net, 2022.

  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 Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2022), June 13-17, Amsterdam, Netherlands, Pages 285-287, Frontiers in Artificial Intelligence and Applications, Vol. 354, IOS Press, 2022.

  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 Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 1350-1361, ISBN 978-1-4503-9352-2, ACM, 2022.

  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 FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  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), June 18-24, New Orleans, LA, USA, Pages 10307-10318, IEEE, 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 Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2022), June 14-17, Halifax, NS, Canada, Pages 178-188, Lecture Notes in Computer Science, Vol. 13263, Springer, 2022.

  8. Daniel Weimer; André Meyer-Vitali; Anne Sielemann; Jens Ziehn; Jingxing Zhou; Yunus Bulut; Michael Graf; Sebastian Krauß

    DIN SPEC 91527:2025-12, Goals, Methods and Metrics for Automated/Semi-Automated Runtime Monitoring of AI Systems for Non-Adversarial Performance Degradations

    DIN Media GmbH, 12/2025.

  9. Rebecca Keilhauer; Michael Lorenz; Carlo Dindorf; Stefan Ernst; Chen-Yu Wang; Paul Messer; Didier Stricker

    Exploring Large Language Models for Automated Gait Analysis

    In: Proceedings of 2nd International Conference of AIxHMC 2025. International Conference on Artificial Intelligence for Medicine, Health, and Care (AIxMHC-2025), October 13-15, Taichung, Taiwan, Province of China, IEEE Xplore, 2025.

  10. Antonio Macaluso; Supreeth Mysore Venkatesh; Diego Arenas; Matthias Klusch; Andreas Dengel

    Quantum-Assisted Correlation Clustering

    In: 2025 IEEE International Conference on Quantum Artificial Intelligence. IEEE International Conference on Quantum Artificial Intelligence (IEEE QAI-2025), November 2-5, University of Naples Federico II, Via Partenope 36, Naples, Italy, Institute of Electrical and Electronics Engineers (IEEE), 9/2025.

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