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Publications

Displaying results 41 to 50 of 6314.

  1. Dayananda Herurkar; Ahmed Anwar; Sebastian Palacio; Jörn Hees; Andreas Dengel

    Fin-Fed-OD: Enhancing Outlier Detection Using Federated Learning on Financial Tabular Data

    In: International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), located at FLTA25, October 14-17, Dubrovnik, Croatia, Pages 40-47, DFKI Research Reports (RR), ISBN 979-8-3315-5670-9, IEEE, 1/2026.

  2. Qiwei Peng; Robert Moro; Michal Gregor; Ivan Srba; Simon Ostermann; Marian Simko; Juraj Podrouzek; Matúvs Mesarvcík; Jaroslav Kopvcan; Anders Søgaard

    SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval

    In: Sara Rosenthal; Aiala Rosá; Debanjan Ghosh; Marcos Zampieri (Hrsg.). Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025). International Workshop on Semantic Evaluation (SemEval), Vienna, Austria, Pages 2498-2511, ISBN 979-8-89176-273-2, Association for Computational Linguistics, 2025.

  3. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinário Passos

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2311.16711, Pages 1-21, arXiv, 2023.

  4. Yannik Keller; Jannis Blüml; Gopika Sudhakaran; Kristian Kersting

    From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2311.13414, Pages 1-16, arXiv, 2023.

  5. Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting

    Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2311.01544, Pages 1-20, arXiv, 2023.

  6. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Do Not Marginalize Mechanisms, Rather Consolidate!

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.08377, Pages 1-19, arXiv, 2023.

  7. Dominik Hintersdorf; Lukas Struppek; Daniel Schneider-Wetzel; Kristian Kersting

    Defending Our Privacy With Backdoors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.08320, Pages 1-19, arXiv, 2023.

  8. 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: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.06549, Pages 1-31, arXiv, 2023.

  9. Lukas Struppek; Martin B. Hentschel; Clifton Poth; Dominik Hintersdorf; Kristian Kersting

    Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.06372, Pages 1-12, arXiv, 2023.

  10. Manuel Brack; Patrick Schramowski; Kristian Kersting

    Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2309.11575, Pages 2-5, arXiv, 2023.

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