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Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.

, , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 478-487. PMLR, (2017)

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Avoiding Bias when Aggregating Relational Data with Degree Disparity, , и . Proceedings of the Twentieth International Conference on Machine Learning (ICML), стр. 274--281. (2003)The matrix mechanism: optimizing linear counting queries under differential privacy., , , , и . VLDB J., 24 (6): 757-781 (2015)Optimizing Histogram Queries under Differential Privacy, , , , и . CoRR, (2009)Principled Evaluation of Differentially Private Algorithms using DPBench., , , , и . CoRR, (2015)Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges., , и . SIGMOD Conference, стр. 1727-1730. ACM, (2017)EKTELO: A Framework for Defining Differentially-Private Computations., , , , , и . SIGMOD Conference, стр. 115-130. ACM, (2018)Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy., , , , , , , , , и 3 other автор(ы). CoRR, (2022)How PhD students at research universities can prepare for a career at a liberal arts college (abstract only)., , и . SIGCSE, стр. 752. ACM, (2013)Relationship privacy: output perturbation for queries with joins., , , и . PODS, стр. 107-116. ACM, (2009)Accurate Estimation of the Degree Distribution of Private Networks., , , и . ICDM, стр. 169-178. IEEE Computer Society, (2009)