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Jahr: 2022
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  1. Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Revision Transformers: Getting RiT of No-Nos

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2210.10332, Pages 0-10, arXiv, 2022.

  2. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.08891, Pages 0-10, arXiv, 2022.

  3. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.07341, Pages 0-10, arXiv, 2022.

  4. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Transformer-Boosted Anomaly Detection with Fuzzy Hashes

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2208.11367, Pages 0-10, arXiv, 2022.

  5. Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting

    ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2208.08241, Pages 0-10, arXiv, 2022.

  6. Jonas Seng; Pooja Prasad; Devendra Singh Dhami; Kristian Kersting

    HANF: Hyperparameter And Neural Architecture Search in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.12342, Pages 0-10, arXiv, 2022.

  7. Bilal Wehbe; Nimish Shrenik Shah; Miguel Bande Firvida; Christian Backe

    Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments

    In: OCEANS 2022, Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Pages 1-9, OCEANS IEEE, 10/2022.

  8. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.

  9. Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting

    Large pre-trained language models contain human-like biases of what is right and wrong to do

    In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.

  10. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

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