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In Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS '12) . Lake Tahoe,Nevada, USA, 2348--2356. Moritz Hardt, Katrina Ligett, and Frank McSherry. 2012. A Simple and Practical Algorithm for Differentially Private Data Release. In Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS '12). Lake Tahoe,Nevada, USA, 2348--2356."},{"key":"e_1_3_2_2_39_1","volume-title":"Proceedings of the 51th Annual IEEE Symposium on Foundations of Computer Science (FOCS '10)","author":"Hardt Moritz","unstructured":"Moritz Hardt and Guy N. Rothblum . 2010. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis . In Proceedings of the 51th Annual IEEE Symposium on Foundations of Computer Science (FOCS '10) . Las Vegas, Nevada, USA, 61--70. Moritz Hardt and Guy N. Rothblum. 2010. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis. In Proceedings of the 51th Annual IEEE Symposium on Foundations of Computer Science (FOCS '10). Las Vegas, Nevada, USA, 61--70."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1806689.1806786"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.11"},{"key":"e_1_3_2_2_42_1","first-page":"1","article-title":"Boosting the Accuracy of Differentially Private Histograms Through Consistency","volume":"3","author":"Hay Michael","year":"2010","unstructured":"Michael Hay , Vibhor Rastogi , Gerome Miklau , and Dan Suciu . 2010 . Boosting the Accuracy of Differentially Private Histograms Through Consistency . VLDB , Vol. 3 , 1 -- 2 (Sept. 2010), 1021--1032. Michael Hay, Vibhor Rastogi, Gerome Miklau, and Dan Suciu. 2010. Boosting the Accuracy of Differentially Private Histograms Through Consistency. VLDB, Vol. 3, 1--2 (Sept. 2010), 1021--1032.","journal-title":"VLDB"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1739041.1739059"},{"key":"e_1_3_2_2_44_1","volume-title":"Some properties of beta and gamma distributions. The annals of mathematical statistics","author":"Jambunathan MV","year":"1954","unstructured":"MV Jambunathan . 1954. Some properties of beta and gamma distributions. The annals of mathematical statistics , Vol. 25 , 2 ( 1954 ), 401--405. MV Jambunathan. 1954. Some properties of beta and gamma distributions. The annals of mathematical statistics, Vol. 25, 2 (1954), 401--405."},{"key":"e_1_3_2_2_45_1","volume-title":"Sur les fonctions convexes et les in\u00e9galit\u00e9s entre les valeurs moyennes. Acta mathematica","author":"William Valdemar Jensen Johan Ludwig","year":"1906","unstructured":"Johan Ludwig William Valdemar Jensen . 1906. Sur les fonctions convexes et les in\u00e9galit\u00e9s entre les valeurs moyennes. Acta mathematica , Vol. 30 , 1 ( 1906 ), 175--193. Johan Ludwig William Valdemar Jensen. 1906. Sur les fonctions convexes et les in\u00e9galit\u00e9s entre les valeurs moyennes. Acta mathematica, Vol. 30, 1 (1906), 175--193."},{"key":"e_1_3_2_2_46_1","volume-title":"Differential privacy and machine learning: a survey and review. arXiv preprint arXiv:1412.7584","author":"Ji Zhanglong","year":"2014","unstructured":"Zhanglong Ji , Zachary C Lipton , and Charles Elkan . 2014. Differential privacy and machine learning: a survey and review. arXiv preprint arXiv:1412.7584 ( 2014 ). Zhanglong Ji, Zachary C Lipton, and Charles Elkan. 2014. Differential privacy and machine learning: a survey and review. arXiv preprint arXiv:1412.7584 (2014)."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.5555\/2612156.2612158"},{"key":"e_1_3_2_2_48_1","volume-title":"Theory of Cryptography","author":"Kasiviswanathan Shiva Prasad","unstructured":"Shiva Prasad Kasiviswanathan , Kobbi Nissim , Sofya Raskhodnikova , and Adam Smith . 2013. Analyzing Graphs with Node Differential Privacy . In Theory of Cryptography , Amit Sahai (Ed.). Springer Berlin Heidelberg , Berlin, Heidelberg , 457--476. Shiva Prasad Kasiviswanathan, Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith. 2013. Analyzing Graphs with Node Differential Privacy. In Theory of Cryptography, Amit Sahai (Ed.). 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Optimality of the laplace mechanism in differential privacy. arXiv preprint arXiv:1504.00065 (2015)."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2013.2283096"},{"key":"e_1_3_2_2_53_1","volume-title":"Proceedings of the 10th $$USENIX$$ Symposium on Networked Systems Design and Implementation ($$NSDI$$ '13)","author":"Lee Sangmin","year":"2013","unstructured":"Sangmin Lee , Edmund L Wong , Deepak Goel , Mike Dahlin , and Vitaly Shmatikov . 2013 . \u03c0box: A platform for privacy-preserving apps . In Proceedings of the 10th $$USENIX$$ Symposium on Networked Systems Design and Implementation ($$NSDI$$ '13) . Lombard, IL, USA, 501--514. Sangmin Lee, Edmund L Wong, Deepak Goel, Mike Dahlin, and Vitaly Shmatikov. 2013. \u03c0box: A platform for privacy-preserving apps. In Proceedings of the 10th $$USENIX$$ Symposium on Networked Systems Design and Implementation ($$NSDI$$ '13). Lombard, IL, USA, 501--514."},{"key":"e_1_3_2_2_54_1","unstructured":"Jure Leskovec and Andrej Krevl. 2014. SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data.  Jure Leskovec and Andrej Krevl. 2014. SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data."},{"key":"e_1_3_2_2_55_1","first-page":"5","article-title":"A Data- and Workload-aware Algorithm for Range Queries Under Differential Privacy","volume":"7","author":"Li Chao","year":"2014","unstructured":"Chao Li , Michael Hay , Gerome Miklau , and Yue Wang . 2014 . A Data- and Workload-aware Algorithm for Range Queries Under Differential Privacy . VLDB , Vol. 7 , 5 (Jan. 2014), 341--352. Chao Li, Michael Hay, Gerome Miklau, and Yue Wang. 2014. A Data- and Workload-aware Algorithm for Range Queries Under Differential Privacy. VLDB, Vol. 7, 5 (Jan. 2014), 341--352.","journal-title":"VLDB"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807085.1807104"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807085.1807104"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0398-x"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.14778\/3055330.3055331"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559850"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2017.11"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488608.2488652"},{"key":"e_1_3_2_2_63_1","volume-title":"Proceedings of the 39th Annual ACM Symposium on Theory of Computing (STOC '07)","author":"Nissim Kobbi","unstructured":"Kobbi Nissim , Sofya Raskhodnikova , and Adam D. Smith . 2007. Smooth sensitivity and sampling in private data analysis . In Proceedings of the 39th Annual ACM Symposium on Theory of Computing (STOC '07) . San Diego, California, USA, 75--84. Kobbi Nissim, Sofya Raskhodnikova, and Adam D. Smith. 2007. Smooth sensitivity and sampling in private data analysis. In Proceedings of the 39th Annual ACM Symposium on Theory of Computing (STOC '07). San Diego, California, USA, 75--84."},{"key":"e_1_3_2_2_64_1","first-page":"1","article-title":"Differentially Private MIMO Filtering for Event Streams","volume":"63","author":"Ny Jerome Le","year":"2018","unstructured":"Jerome Le Ny and Meisam Mohammady . 2018 . Differentially Private MIMO Filtering for Event Streams . IEEE Trans. Automat. Control , Vol. 63 , 1 (Jan 2018), 145--157. Jerome Le Ny and Meisam Mohammady. 2018. Differentially Private MIMO Filtering for Event Streams. IEEE Trans. Automat. Control, Vol. 63, 1 (Jan 2018), 145--157.","journal-title":"IEEE Trans. Automat. 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