Rasmus Pagh

Rasmus Pagh

Professor

ORCID: 0000-0002-1516-9306

Publication year:
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1 - 5 out of 5Page size: 10
  1. 2021
  2. Published

    CountSketches, Feature Hashing and the Median of Three

    Larsen, K. G., Pagh, Rasmus & Tetek, Jakub, 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 6011-6020 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message

    Ghazi, B., Kumar, R., Manurangsi, P., Pagh, Rasmus & Sinha, A., 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 3692-3701 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access

    Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2021, CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 1223-1236 (Proceedings of the ACM Conference on Computer and Communications Security).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Efficient differentially private F0 linear sketching

    Pagh, Rasmus & Stausholm, N. M., 2021, 24th International Conference on Database Theory, ICDT 2021. Yi, K. & Wei, Z. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-19 18. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 186).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    On the Power of Multiple Anonymous Messages: Frequency Estimation and Selection in the Shuffle Model of Differential Privacy

    Ghazi, B., Golowich, N., Kumar, R., Pagh, Rasmus & Velingker, A., 2021, Advances in Cryptology – EUROCRYPT 2021 - 40th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Proceedings. Canteaut, A. & Standaert, F-X. (eds.). Springer, p. 463-488 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12698 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 252282120