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Publications

Displaying results 1811 to 1820 of 14648.

  1. 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.

  2. 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.

  3. 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.

  4. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes

    In: Letizia Tanca; Qiong Luo; Giuseppe Polese; Loredana Caruccio; Xavier Oriol; Donatella Firmani (Hrsg.). Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28. International Conference on Extending Database Technology (EDBT), Pages 725-733, OpenProceedings.org, 2024.

  5. Carsten Binnig; Nesime Tatbul

    International Workshop on Data Management on New Hardware (DaMoN)

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 645-646, ACM, 2024.

  6. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  7. Matthias Urban; Carsten Binnig

    ELEET: Efficient Learned Query Execution over Text and Tables

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4867-4880, VLDB, 2024.

  8. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

  9. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  10. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-8, a, 2025.

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