{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:30:35Z","timestamp":1758270635618,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,4,23]],"date-time":"2018-04-23T00:00:00Z","timestamp":1524441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"UChicago CERES Center"},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CNS-1513694"],"award-info":[{"award-number":["CNS-1513694"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,4,23]]},"DOI":"10.1145\/3193111.3193115","type":"proceedings-article","created":{"date-parts":[[2018,3,28]],"date-time":"2018-03-28T12:19:35Z","timestamp":1522239575000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Using Differential Privacy to Efficiently Mitigate Side Channels in Distributed Analytics"],"prefix":"10.1145","author":[{"given":"Min","family":"Xu","sequence":"first","affiliation":[{"name":"University of Chicago"}]},{"given":"Antonis","family":"Papadimitriou","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}]},{"given":"Ariel","family":"Feldman","sequence":"additional","affiliation":[{"name":"University of Chicago"}]},{"given":"Andreas","family":"Haeberlen","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}]}],"member":"320","published-online":{"date-parts":[[2018,4,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2015.44"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. CIDR","author":"Arasu A.","year":"2013","unstructured":"A. Arasu , S. Blanas , K. Eguro , R. Kaushik , D. Kossmann , R. Ramamurthy , and R. Venkatesan . Orthogonal security with cipherbase . In Proc. CIDR , 2013 . A. Arasu, S. Blanas, K. Eguro, R. Kaushik, D. Kossmann, R. Ramamurthy, and R. Venkatesan. Orthogonal security with cipherbase. In Proc. CIDR, 2013."},{"key":"e_1_3_2_1_3_1","volume-title":"Proc. ICDT","author":"Arvind Arasu R. K.","year":"2014","unstructured":"R. K. Arvind Arasu . Oblivious query processing . In Proc. ICDT , 2014 . R. K. Arvind Arasu. Oblivious query processing. In Proc. ICDT, 2014."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1468075.1468121"},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. USENIX WOOT","author":"Brasser F.","year":"2017","unstructured":"F. Brasser , U. M\u00fcller , A. Dmitrienko , K. Kostiainen , S. Capkun , and A.-R. Sadeghi . Software grand exposure: SGX cache attacks are practical . In Proc. USENIX WOOT , 2017 . F. Brasser, U. M\u00fcller, A. Dmitrienko, K. Kostiainen, S. Capkun, and A.-R. Sadeghi. Software grand exposure: SGX cache attacks are practical. In Proc. USENIX WOOT, 2017."},{"key":"e_1_3_2_1_7_1","volume-title":"Our data, ourselves: Privacy via distributed noise generation","author":"Dwork C.","year":"2006","unstructured":"C. Dwork , K. Kenthapadi , F. McSherry , I. Mironov , and M. Naor . Our data, ourselves: Privacy via distributed noise generation . 2006 . C. Dwork, K. Kenthapadi, F. McSherry, I. Mironov, and M. Naor. Our data, ourselves: Privacy via distributed noise generation. 2006."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"e_1_3_2_1_10_1","volume-title":"Proc. VLDB","author":"Ioannidis Y. E.","year":"1992","unstructured":"Y. E. Ioannidis , R. T. Ng , K. Shim , and T. K. Sellis . Parametric query optimization . In Proc. VLDB , 1992 . Y. E. Ioannidis, R. T. Ng, K. Shim, and T. K. Sellis. Parametric query optimization. In Proc. VLDB, 1992."},{"key":"e_1_3_2_1_11_1","volume-title":"Mar.","author":"Johnson S.","year":"2017","unstructured":"S. Johnson . Intel SGX and side channels. https:\/\/software.intel.com\/en-us\/articles\/intel-sgx-and-side-channels , Mar. 2017 . S. Johnson. Intel SGX and side channels. https:\/\/software.intel.com\/en-us\/articles\/intel-sgx-and-side-channels, Mar. 2017."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/362375.362389"},{"key":"e_1_3_2_1_13_1","volume-title":"Proc. Security)","author":"Lee S.","year":"2017","unstructured":"S. Lee , M.-W. Shih , P. Gera , T. Kim , H. Kim , and M. Peinado . Inferring fine-grained control flow inside SGX enclaves with branch shadowing . In Proc. Security) , 2017 . S. Lee, M.-W. Shih, P. Gera, T. Kim, H. Kim, and M. Peinado. Inferring fine-grained control flow inside SGX enclaves with branch shadowing. In Proc. Security), 2017."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-009-9626-0"},{"key":"e_1_3_2_1_15_1","volume-title":"Proc. OSDI","author":"Narayan A.","year":"2012","unstructured":"A. Narayan and A. Haeberlen . Djoin: Differentially private join queries over distributed databases . In Proc. OSDI , 2012 . A. Narayan and A. Haeberlen. Djoin: Differentially private join queries over distributed databases. In Proc. OSDI, 2012."},{"key":"e_1_3_2_1_16_1","volume-title":"TLC Trip Record Data (April","author":"NYC Taxi & Limousine Commission","year":"2017","unstructured":"NYC Taxi & Limousine Commission . TLC Trip Record Data (April , 2017 ). http:\/\/www.nyc.gov\/html\/tlc\/html\/about\/trip_record_data.shtml. NYC Taxi & Limousine Commission. TLC Trip Record Data (April, 2017). http:\/\/www.nyc.gov\/html\/tlc\/html\/about\/trip_record_data.shtml."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813695"},{"key":"e_1_3_2_1_18_1","volume-title":"Proc. USENIX Security","author":"Ohrimenko O.","year":"2016","unstructured":"O. Ohrimenko , F. Schuster , C. Fournet , A. Mehta , S. Nowozin , K. Vaswani , and M. Costa . Oblivious multi-party machine learning on trusted processors . In Proc. USENIX Security , 2016 . O. Ohrimenko, F. Schuster, C. Fournet, A. Mehta, S. Nowozin, K. Vaswani, and M. Costa. Oblivious multi-party machine learning on trusted processors. In Proc. USENIX Security, 2016."},{"key":"e_1_3_2_1_19_1","volume-title":"Proc. OSDI","author":"Papadimitriou A.","year":"2016","unstructured":"A. Papadimitriou , R. Bhagwan , N. Chandran , R. Ramjee , A. Haeberlen , H. Singh , A. Modi , and S. Badrinarayanan . Big data analytics over encrypted datasets with Seabed . In Proc. OSDI , 2016 . A. Papadimitriou, R. Bhagwan, N. Chandran, R. Ramjee, A. Haeberlen, H. Singh, A. Modi, and S. Badrinarayanan. Big data analytics over encrypted datasets with Seabed. In Proc. OSDI, 2016."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/971697.602294"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043556.2043566"},{"key":"e_1_3_2_1_22_1","volume-title":"Proc. USENIX Security","author":"Rane A.","year":"2015","unstructured":"A. Rane , C. Lin , and M. Tiwari . Raccoon: Closing digital side-channels through obfuscated execution . In Proc. USENIX Security , 2015 . A. Rane, C. Lin, and M. Tiwari. Raccoon: Closing digital side-channels through obfuscated execution. In Proc. USENIX Security, 2015."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2015.10"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2017.23193"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610527"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45744-4_22"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2015.45"},{"key":"e_1_3_2_1_28_1","volume-title":"Proc. NSDI","author":"Zaharia M.","year":"2012","unstructured":"M. Zaharia , M. Chowdhury , T. Das , A. Dave , J. Ma , M. McCauley , M. J. Franklin , S. Shenker , and I. Stoica . Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing . In Proc. NSDI , 2012 . M. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. J. Franklin, S. Shenker, and I. Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In Proc. NSDI, 2012."},{"key":"e_1_3_2_1_29_1","volume-title":"Proc. NSDI","author":"Zheng W.","year":"2017","unstructured":"W. Zheng , A. Dave , J. G. Beekman , R. A. Popa , J. E. Gonzalez , and I. Stoica . Opaque: An oblivious and encrypted distributed analytics platform . In Proc. NSDI , 2017 . W. Zheng, A. Dave, J. G. Beekman, R. A. Popa, J. E. Gonzalez, and I. Stoica. Opaque: An oblivious and encrypted distributed analytics platform. In Proc. NSDI, 2017."}],"event":{"name":"EuroSys '18: Thirteenth EuroSys Conference 2018","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"],"location":"Porto Portugal","acronym":"EuroSys '18"},"container-title":["Proceedings of the 11th European Workshop on Systems Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3193111.3193115","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3193111.3193115","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3193111.3193115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:09Z","timestamp":1750213569000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3193111.3193115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,23]]},"references-count":27,"alternative-id":["10.1145\/3193111.3193115","10.1145\/3193111"],"URL":"https:\/\/doi.org\/10.1145\/3193111.3193115","relation":{},"subject":[],"published":{"date-parts":[[2018,4,23]]},"assertion":[{"value":"2018-04-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}