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Privacy in Advertising: Analytics and Modeling.

, , и . KDD, стр. 5802. ACM, (2023)

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Walter Pasinato

Enrico Pasin

Marcia Pasin

Attila Pasinli

Samuele Pasini

 

Другие публикации лиц с тем же именем

Differentially Private Fair Division., и . AAAI, стр. 5814-5822. AAAI Press, (2023)Differentially Private Heatmaps., , , , , , и . AAAI, стр. 7696-7704. AAAI Press, (2023)When Do Envy-Free Allocations Exist?, и . AAAI, стр. 2109-2116. AAAI Press, (2019)Privacy in Advertising: Analytics and Modeling., , и . KDD, стр. 5802. ACM, (2023)On User-Level Private Convex Optimization., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 11283-11299. PMLR, (2023)Mildly Exponential Time Approximation Algorithms for Vertex Cover, Balanced Separator and Uniform Sparsest Cut., и . APPROX-RANDOM, том 116 из LIPIcs, стр. 20:1-20:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)User-Level Differentially Private Learning via Correlated Sampling., , и . NeurIPS, стр. 20172-20184. (2021)Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions., , , , и . CoRR, (2022)Improved Approximation Algorithms for Projection Games - (Extended Abstract)., и . ESA, том 8125 из Lecture Notes in Computer Science, стр. 683-694. Springer, (2013)Near-tight closure b ounds for the Littlestone and threshold dimensions., , , и . ALT, том 132 из Proceedings of Machine Learning Research, стр. 686-696. PMLR, (2021)