Rasmus Pagh

Rasmus Pagh

Professor

ORCID: 0000-0002-1516-9306

Udgivelsesår:
Alle
1 - 17 ud af 17Pr. side: 500
Sortering: Udgivelsesdato
  1. 2024
  2. Udgivet

    Shannon meets Gray: Noise-robust, Low-sensitivity Codes with Applications in Differential Privacy

    Lolck, David Rasmussen & Pagh, Rasmus, 2024, s. 1050-1066. 17 s.

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  3. 2023
  4. Udgivet

    A Smooth Binary Mechanism for Efficient Private Continual Observation

    Andersson, Joel Daniel & Pagh, Rasmus, 2023. 11 s.

    Publikation: Konferencebidrag › Paper › Forskning

  5. Udgivet

    Simple Set Sketching

    Bæk Tejs Houen, J., Pagh, Rasmus & Walzer, S., 2023, Proceedings, 2023 Symposium on Simplicity in Algorithms (SOSA). Kavitha, T. & Mehlhorn, K. (red.). Society for Industrial and Applied Mathematics, s. 228-241

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. 2022
  7. Udgivet

    DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

    Karppa, M., Aumüller, M. & Pagh, Rasmus, 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics. PMLR, s. 3108-3137 (Proceedings of Machine Learning Research, Bind 151).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    HyperLogLogLog: Cardinality Estimation With One Log More

    Karppa, M. & Pagh, Rasmus, 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Inc., s. 753-761

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    Improved Utility Analysis of Private CountSketch

    Pagh, Rasmus & Thorup, Mikkel, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 13 s. (Advances in Neural Information Processing Systems, Bind 35).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    Infinitely Divisible Noise in the Low Privacy Regime

    Pagh, Rasmus & Stausholm, N. M., 2022, Proceedings of The 33rd International Conference on Algorithmic Learning Theory. PMLR, s. 881-909 (Proceedings of Machine Learning Research, Bind 167).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  11. Udgivet

    Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access

    Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2022, I: Journal of Privacy and Confidentiality. 12, 2, 35 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  12. Udgivet

    Sampling a Near Neighbor in High Dimensions-Who is the Fairest of Them All?

    Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, I: ACM Transactions on Database Systems. 47, 1, s. 1-40 4.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  13. Udgivet

    Sampling near neighbors in search for fairness

    Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, I: Communications of the ACM. 65, 8, s. 83-90

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  14. 2021

  15. Advances and Open Problems in Federated Learning

    Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., D'Oliveira, R. G. L., Eichner, H., El Rouayheb, S., Evans, D., Gardner, J., Garrett, Z., Gascon, A., Ghazi, B., Gibbons, P. B., Gruteser, M. & 39 flere, Harchaoui, Z., He, C., He, L., Huo, Z., Hutchinson, B., Hsu, J., Jaggi, M., Javidi, T., Joshi, G., Khodak, M., Konecny, J., Korolova, A., Koushanfar, F., Koyejo, S., Lepoint, T., Liu, Y., Mittal, P., Mohri, M., Nock, R., Ozgur, A., Pagh, Rasmus, Qi, H., Ramage, D., Raskar, R., Raykova, M., Song, D., Song, W., Stich, S. U., Sun, Z., Suresh, A. T., Tramer, F., Vepakomma, P., Wang, J., Xiong, L., Xu, Z., Yang, Q., Yu, F. X., Yu, H. & Zhao, S., 2021, I: Foundations and Trends in Machine Learning. 14, 1-2, s. 1-210

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  16. Udgivet

    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. (red.). PMLR, s. 6011-6020 (Proceedings of Machine Learning Research, Bind 139).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  17. Udgivet

    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. (red.). PMLR, s. 3692-3701 (Proceedings of Machine Learning Research, Bind 139).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  18. Udgivet

    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, s. 1223-1236 (Proceedings of the ACM Conference on Computer and Communications Security).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  19. Udgivet

    Efficient differentially private F0 linear sketching

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  20. Udgivet

    Fair near neighbor search via sampling

    Aumuller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2021, I: SIGMOD Record. 50, 1, s. 42-49

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  21. Udgivet

    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. (red.). Springer, s. 463-488 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12698 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

ID: 252282120