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Single machine graph analytics on massive datasets using intel optane dc persistent memory. arXiv preprint arXiv:1904.07162, 2019."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/22145.22178"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)","author":"Gonzalez J. E.","year":"2014","unstructured":"J. E. Gonzalez , R. S. Xin , A. Dave , D. Crankshaw , M.J. Franklin , and I. Stoica . GraphX: Graph processing in a distributed dataflow framework . In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI) , 2014 . J. E. Gonzalez, R. S. Xin, A. Dave, D. Crankshaw, M.J. Franklin, and I. Stoica. GraphX: Graph processing in a distributed dataflow framework. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2014."},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings. 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In Proceedings of the USENIX Security Symposium , 2011 . A. Haeberlen, B. C. Pierce, and A. Narayan. Differential privacy under fire. In Proceedings of the USENIX Security Symposium, 2011."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.14778\/1453856.1453873"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2524211.2524218"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(20)30471-0"},{"key":"e_1_3_2_1_53_1","unstructured":"KU Leuven COSIC. SCALE-MAMBA. https:\/\/github.com\/KULeuven-COSIC\/SCALE-MAMBA.  KU Leuven COSIC. 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Superspreading and the effect of individual variation on disease emergence . Nature , 2005 . J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp, and W. M. Getz. Superspreading and the effect of individual variation on disease emergence. Nature, 2005."},{"key":"e_1_3_2_1_63_1","volume-title":"Uncertainty in Artificial Intelligence","author":"Low Y.","year":"2010","unstructured":"Y. Low , J. E. Gonzalez , A. Kyrola , D. Bickson , C. Guestrin , and J. M. Hellerstein . GraphLab: A new framework for parallel machine learning . In Uncertainty in Artificial Intelligence , 2010 . Y. Low, J. E. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, and J. M. Hellerstein. GraphLab: A new framework for parallel machine learning. 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Pisces: Anonymous communication using social networks. arXiv preprint arXiv:1208.6326, 2012."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0050074"},{"key":"e_1_3_2_1_69_1","volume-title":"Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)","author":"Narayan A.","year":"2012","unstructured":"A. Narayan and A. Haeberlen . DJoin: Differentially private join queries over distributed databases . In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI) , 2012 . A. Narayan and A. Haeberlen. DJoin: Differentially private join queries over distributed databases. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2012."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3360598"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522739"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522739"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1805376"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3064176.3064218"},{"key":"e_1_3_2_1_75_1","volume-title":"Contact tracing during coronavirus disease outbreak, south korea","author":"Park Y. J.","year":"2020","unstructured":"Y. J. Park , Y. J. Choe , O. Park , S. Y. Park , Y.-M. Kim , J. Kim , S. Kweon , Y. Woo , J. Gwack , S. S. Kim , Contact tracing during coronavirus disease outbreak, south korea , 2020 . Emerging infectious diseases, 2020. Y. J. Park, Y. J. Choe, O. Park, S. Y. Park, Y.-M. Kim, J. Kim, S. Kweon, Y. Woo, J. Gwack, S. S. Kim, et al. Contact tracing during coronavirus disease outbreak, south korea, 2020. Emerging infectious diseases, 2020."},{"key":"e_1_3_2_1_76_1","volume-title":"ArXiv","author":"Pihur V.","year":"2018","unstructured":"V. Pihur , A. Korolova , F. Liu , S. Sankuratripati , M. Yung , D. Huang , and R. Zeng . Differentially-private \"draw and discard\" machine learning . ArXiv , 2018 . V. Pihur, A. Korolova, F. Liu, S. Sankuratripati, M. Yung, D. Huang, and R. Zeng. Differentially-private \"draw and discard\" machine learning. ArXiv, 2018."},{"key":"e_1_3_2_1_77_1","volume-title":"Proceedings of the USENIX Security Symposium","author":"Piotrowska A. M.","year":"2017","unstructured":"A. M. Piotrowska , J. Hayes , T. Elahi , S. Meiser , and G. Danezis . The loopix anonymity system . In Proceedings of the USENIX Security Symposium , 2017 . A. M. Piotrowska, J. Hayes, T. Elahi, S. Meiser, and G. Danezis. The loopix anonymity system. In Proceedings of the USENIX Security Symposium, 2017."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30528-6"},{"key":"e_1_3_2_1_79_1","volume-title":"Proceedings of the International Workshop on Design Issues in Anonymity and Unobservability","author":"Raymond J.-F.","year":"2000","unstructured":"J.-F. Raymond . Traffic analaysis : Protocols, attacks, design issues, and open problems . In Proceedings of the International Workshop on Design Issues in Anonymity and Unobservability , July 2000 . J.-F. Raymond. Traffic analaysis: Protocols, attacks, design issues, and open problems. In Proceedings of the International Workshop on Design Issues in Anonymity and Unobservability, July 2000."},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359660"},{"key":"e_1_3_2_1_81_1","volume-title":"Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)","author":"Roth E.","year":"2020","unstructured":"E. Roth , H. Zhang , A. Haeberlen , and B. C. Pierce . Orchard: Differentially private analytics at scale . In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI) , 2020 . E. Roth, H. Zhang, A. Haeberlen, and B. C. Pierce. Orchard: Differentially private analytics at scale. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/359168.359176"},{"key":"e_1_3_2_1_83_1","volume-title":"Decentralized privacy-preserving proximity tracing. arXiv preprint arXiv:2005.12273","author":"Troncoso C.","year":"2020","unstructured":"C. Troncoso , M. Payer , J.-P. Hubaux , M. Salath\u00e9 , J. Larus , E. Bugnion , W. Lueks , T. Stadler , A. Pyrgelis , D. Antonioli , Decentralized privacy-preserving proximity tracing. arXiv preprint arXiv:2005.12273 , 2020 . C. Troncoso, M. Payer, J.-P. Hubaux, M. Salath\u00e9, J. Larus, E. Bugnion, W. Lueks, T. Stadler, A. Pyrgelis, D. Antonioli, et al. Decentralized privacy-preserving proximity tracing. arXiv preprint arXiv:2005.12273, 2020."},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132783"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815400.2815417"},{"key":"e_1_3_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806777.2806849"},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1982.38"},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3384419.3430603"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78478-4_9"},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497459"},{"key":"e_1_3_2_1_91_1","volume-title":"Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI)","author":"Zhu X.","year":"2016","unstructured":"X. Zhu , W. Chen , W. Zheng , and X. Ma . 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