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http:\/\/qwone.com\/~jason\/20Newsgroups\/."},{"key":"e_1_3_2_2_13_1","unstructured":"http:\/\/www.daviddlewis.com\/resources\/testcollections\/reuters21578\/.  http:\/\/www.daviddlewis.com\/resources\/testcollections\/reuters21578\/."},{"key":"e_1_3_2_2_14_1","unstructured":"http:\/\/email.about.com\/od\/emailstatistics\/f\/What_is_the_Average_Size_of_an_Email_Message.htm.  http:\/\/email.about.com\/od\/emailstatistics\/f\/What_is_the_Average_Size_of_an_Email_Message.htm."},{"key":"e_1_3_2_2_15_1","unstructured":"http:\/\/www.gossamer-threads.com\/lists\/spamassassin\/users\/151578.  http:\/\/www.gossamer-threads.com\/lists\/spamassassin\/users\/151578."},{"key":"e_1_3_2_2_16_1","unstructured":"http:\/\/users.spamassassin.apache.narkive.com\/d6ppUDfw\/large-scale-global-bayes-tuning.  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A survey on ring-LWE cryptography Feb. 2016. https:\/\/www.microsoft.com\/en-us\/research\/video\/a-survey-on-ring-lwe-cryptography\/."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906412"},{"key":"e_1_3_2_2_20_1","volume-title":"PETS","author":"Aguilar-Melchor C.","year":"2016","unstructured":"C. Aguilar-Melchor , J. Barrier , L. Fousse , and M.-O. Killijian . XPIR : Private Information Retrieval for Everyone . In PETS , 2016 . C. Aguilar-Melchor, J. Barrier, L. Fousse, and M.-O. Killijian. XPIR: Private Information Retrieval for Everyone. In PETS, 2016."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/1378245.1378274"},{"key":"e_1_3_2_2_22_1","volume-title":"Workshop on Machine Learning in the New Information Age","author":"Androutsopoulos I.","year":"2000","unstructured":"I. Androutsopoulos , J. Koutsias , K. Chandrinos , G. Paliouras , and C. Spyropoulos . An evaluation of Naive Bayesian anti-spam filtering . In Workshop on Machine Learning in the New Information Age , 2000 . I. Androutsopoulos, J. Koutsias, K. Chandrinos, G. Paliouras, and C. Spyropoulos. An evaluation of Naive Bayesian anti-spam filtering. In Workshop on Machine Learning in the New Information Age, 2000."},{"key":"e_1_3_2_2_23_1","unstructured":"Apple. Our Approach to Privacy. http:\/\/www.apple.com\/privacy\/approach-to-privacy\/.  Apple. Our Approach to Privacy. http:\/\/www.apple.com\/privacy\/approach-to-privacy\/."},{"key":"e_1_3_2_2_24_1","unstructured":"M. L. G. at National Taiwan University. LIBLINEAR--A library for large linear classification. https:\/\/www.csie.ntu.edu.tw\/~cjlin\/liblinear\/.  M. L. G. at National Taiwan University. LIBLINEAR--A library for large linear classification. https:\/\/www.csie.ntu.edu.tw\/~cjlin\/liblinear\/."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44634-6_16"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978410"},{"key":"e_1_3_2_2_27_1","volume-title":"Toronto Star","author":"Beeby D.","year":"2010","unstructured":"D. Beeby . Rogue tax workers snooped on ex-spouses, family members . Toronto Star , June 2010 . https:\/\/www.thestar.com\/news\/canada\/2010\/06\/20\/rogue_tax_workers_snooped_on_exspouses_family_members.html. D. Beeby. Rogue tax workers snooped on ex-spouses, family members. Toronto Star, June 2010. https:\/\/www.thestar.com\/news\/canada\/2010\/06\/20\/rogue_tax_workers_snooped_on_exspouses_family_members.html."},{"key":"e_1_3_2_2_28_1","volume-title":"Sept.","author":"Betters E.","year":"2016","unstructured":"E. Betters . What is Google Assistant, how does it work, and when can you use it? , Sept. 2016 . http:\/\/www.pocket-lint.com\/news\/137722-what-is-google-assistant-how-does-it-work-and-when-can-you-use-it. E. Betters. What is Google Assistant, how does it work, and when can you use it?, Sept. 2016. http:\/\/www.pocket-lint.com\/news\/137722-what-is-google-assistant-how-does-it-work-and-when-can-you-use-it."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_25"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23822-2_11"},{"key":"e_1_3_2_2_31_1","volume-title":"FC","author":"Bonneau J.","year":"2016","unstructured":"J. Bonneau . EthIKS: Using Ethereum to audit a CONIKS key transparency log . In FC , 2016 . J. Bonneau. EthIKS: Using Ethereum to audit a CONIKS key transparency log. In FC, 2016."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"e_1_3_2_2_33_1","volume-title":"NDSS","author":"Bost R.","year":"2014","unstructured":"R. Bost , R. A. Popa , S. Tu , and S. Goldwasser . Machine learning classification over encrypted data . In NDSS , 2014 . R. Bost, R. A. Popa, S. Tu, and S. Goldwasser. Machine learning classification over encrypted data. In NDSS, 2014."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22792-9_29"},{"key":"e_1_3_2_2_35_1","volume-title":"Classification and regression trees","author":"Breiman L.","year":"1984","unstructured":"L. Breiman , J. Friedman , C. J. Stone , and R. A. Olshen . Classification and regression trees . CRC press , 1984 . L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen. Classification and regression trees. CRC press, 1984."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2914642.2914658"},{"key":"e_1_3_2_2_37_1","volume-title":"IETF","author":"Callas J.","year":"2007","unstructured":"J. Callas , L. Donnerhacke , H. Finney , D. Shaw , and R. Thayer . OpenPGP message format. RFC 4880 , IETF , 2007 . J. Callas, L. Donnerhacke, H. Finney, D. Shaw, and R. Thayer. OpenPGP message format. RFC 4880, IETF, 2007."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/11535706_9"},{"key":"e_1_3_2_2_39_1","volume-title":"Mar.","author":"Ciano P.","year":"2014","unstructured":"P. Ciano . How to use Google Now , Mar. 2014 . https:\/\/paulciano.org\/2014\/03\/getting-google-now\/. P. Ciano. How to use Google Now, Mar. 2014. https:\/\/paulciano.org\/2014\/03\/getting-google-now\/."},{"key":"e_1_3_2_2_40_1","unstructured":"M. Cohen. Web storage overview. https:\/\/developers.google.com\/web\/fundamentals\/instant-and-offline\/web-storage\/.  M. Cohen. Web storage overview. https:\/\/developers.google.com\/web\/fundamentals\/instant-and-offline\/web-storage\/."},{"key":"e_1_3_2_2_41_1","unstructured":"K. Conger. Google engineer says he'll push for default end-to-end encryption in Allo May 2016. https:\/\/techcrunch.com\/2016\/05\/19\/google-engineer-says-hell-push-for-default-end-to-end-encryption-in-allo\/.  K. Conger. Google engineer says he'll push for default end-to-end encryption in Allo May 2016. https:\/\/techcrunch.com\/2016\/05\/19\/google-engineer-says-hell-push-for-default-end-to-end-encryption-in-allo\/."},{"key":"e_1_3_2_2_42_1","unstructured":"K. Conger. Google's Allo won't include end-to-end encryption by default May 2016. https:\/\/techcrunch.com\/2016\/05\/18\/googles-allo-wont-include-end-to-end-encryption-by-default\/.  K. Conger. 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In TREC, 2007."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.7873\/DATE.2015.0378"},{"key":"e_1_3_2_2_47_1","volume-title":"The transport layer security (TLS) protocol version 1.2. RFC 5246","author":"Dierks T.","year":"2008","unstructured":"T. Dierks and E. Rescorla . The transport layer security (TLS) protocol version 1.2. RFC 5246 , Network Working Group , 2008 . T. Dierks and E. Rescorla. The transport layer security (TLS) protocol version 1.2. RFC 5246, Network Working Group, 2008."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1976.1055638"},{"key":"e_1_3_2_2_49_1","volume-title":"Aug.","author":"Dizon J.","year":"2015","unstructured":"J. Dizon . Gmail can now automatically put flight, hotel, ticket, or restaurant info on Google calendar , Aug. 2015 . http:\/\/www.techtimes.com\/articles\/79380\/20150826\/gmail-can-now-automatically-put-flight-hotel-ticket-or-restaurant-info-on-google-calendar.htm. J. Dizon. Gmail can now automatically put flight, hotel, ticket, or restaurant info on Google calendar, Aug. 2015. http:\/\/www.techtimes.com\/articles\/79380\/20150826\/gmail-can-now-automatically-put-flight-hotel-ticket-or-restaurant-info-on-google-calendar.htm."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28628-8_30"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06608-0_50"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-1467-1_6"},{"key":"e_1_3_2_2_53_1","volume-title":"Intl. Conf. on Data Mining Wkshp on Privacy, Security and Data Mining (PSDM)","author":"Du W.","year":"2002","unstructured":"W. Du and Z. Zhan . Building decision tree classifier on private data . In Intl. Conf. on Data Mining Wkshp on Privacy, Security and Data Mining (PSDM) , 2002 . W. Du and Z. Zhan. Building decision tree classifier on private data. In Intl. Conf. on Data Mining Wkshp on Privacy, Security and Data Mining (PSDM), 2002."},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/844102.844125"},{"key":"e_1_3_2_2_55_1","unstructured":"T. Duong. Security and privacy in Google Allo May 2016. https:\/\/vnhacker.blogspot.com\/2016\/05\/security-and-privacy-in-google-allo.html.  T. Duong. Security and privacy in Google Allo May 2016. https:\/\/vnhacker.blogspot.com\/2016\/05\/security-and-privacy-in-google-allo.html."},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815675.2815695"},{"key":"e_1_3_2_2_57_1","volume-title":"LIBLINEAR: A library for large linear classification. JMLR, 9(Aug):1871--1874","author":"Fan R.-E.","year":"2008","unstructured":"R.-E. Fan , K.-W. 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Goethals , S. Laur , H. Lipmaa , and T. Mielik\u00e4inen . On private scalar product computation for privacy-preserving data mining . In Intl. Conf. on Information Security and Cryptology (ICISC). 2004 . B. Goethals, S. Laur, H. Lipmaa, and T. Mielik\u00e4inen. On private scalar product computation for privacy-preserving data mining. In Intl. Conf. on Information Security and Cryptology (ICISC). 2004."},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/28395.28420"},{"key":"e_1_3_2_2_62_1","volume-title":"Conf. on Email and Anti-Spam (CEAS)","author":"Goodman J.","year":"2006","unstructured":"J. Goodman and W.-t. Yih . Online discriminative spam filter training . In Conf. on Email and Anti-Spam (CEAS) , 2006 . J. Goodman and W.-t. Yih. Online discriminative spam filter training. In Conf. on Email and Anti-Spam (CEAS), 2006."},{"key":"e_1_3_2_2_63_1","unstructured":"Google. https:\/\/github.com\/google\/end-to-end.  Google. https:\/\/github.com\/google\/end-to-end."},{"key":"e_1_3_2_2_64_1","unstructured":"Google. Google transparency report. https:\/\/www.google.com\/transparencyreport\/userdatarequests\/US\/.  Google. Google transparency report. https:\/\/www.google.com\/transparencyreport\/userdatarequests\/US\/."},{"key":"e_1_3_2_2_65_1","unstructured":"Google. How Gmail ads work. https:\/\/support.google.com\/mail\/answer\/6603?hl=en.  Google. How Gmail ads work. https:\/\/support.google.com\/mail\/answer\/6603?hl=en."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/2382196"},{"key":"e_1_3_2_2_67_1","volume-title":"Medium","author":"Gould J.","year":"2014","unstructured":"J. Gould . The natural history of Gmail data mining. Gmail isn't really about email---it's a gigantic profiling machine . Medium , June 2014 . https:\/\/medium.com\/@jeffgould\/the-natural-history-of-gmail-data-mining-be115d196b10. J. Gould. The natural history of Gmail data mining. Gmail isn't really about email---it's a gigantic profiling machine. Medium, June 2014. https:\/\/medium.com\/@jeffgould\/the-natural-history-of-gmail-data-mining-be115d196b10."},{"key":"e_1_3_2_2_68_1","volume-title":"A plan for spam","author":"Graham P.","year":"2002","unstructured":"P. Graham . A plan for spam , 2002 . http:\/\/www.paulgraham.com\/spam.html. P. Graham. A plan for spam, 2002. http:\/\/www.paulgraham.com\/spam.html."},{"key":"e_1_3_2_2_69_1","volume-title":"Better Bayesian filtering","author":"Graham P.","year":"2003","unstructured":"P. Graham . Better Bayesian filtering , 2003 . http:\/\/www.paulgraham.com\/better.html. P. Graham. Better Bayesian filtering, 2003. http:\/\/www.paulgraham.com\/better.html."},{"key":"e_1_3_2_2_70_1","volume-title":"Pretzel: Email encryption and provider-supplied functions are compatible (extended version). arXiv preprint arXiv:1612.04265","author":"Gupta T.","year":"2016","unstructured":"T. Gupta , H. Fingler , L. Alvisi , and M. 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Quid-pro-quo-tocols: Strengthening semi-honest protocols with dual execution . In IEEE S &P, 2012 . Y. Huang, J. Katz, and D. Evans. Quid-pro-quo-tocols: Strengthening semi-honest protocols with dual execution. In IEEE S&P, 2012."},{"key":"e_1_3_2_2_74_1","volume-title":"International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE)","author":"Huang Y.","year":"2005","unstructured":"Y. Huang , Z. Lu , Privacy preserving association rule mining with scalar product . In International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE) , 2005 . Y. Huang, Z. Lu, et al. Privacy preserving association rule mining with scalar product. In International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), 2005."},{"key":"e_1_3_2_2_75_1","volume-title":"NDSS","author":"Huang Y.","year":"2011","unstructured":"Y. Huang , L. Malka , D. Evans , and J. Katz . Efficient privacy-preserving biometric identification . In NDSS , 2011 . Y. Huang, L. Malka, D. Evans, and J. Katz. Efficient privacy-preserving biometric identification. In NDSS, 2011."},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2002.1040894"},{"key":"e_1_3_2_2_77_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45146-4_9"},{"key":"e_1_3_2_2_78_1","doi-asserted-by":"publisher","DOI":"10.5555\/645326.649721"},{"key":"e_1_3_2_2_79_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74976-9_53"},{"key":"e_1_3_2_2_80_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27189-2_1"},{"key":"e_1_3_2_2_81_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-47989-6_35"},{"key":"e_1_3_2_2_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2015.2500576"},{"key":"e_1_3_2_2_83_1","volume-title":"USENIX Security","author":"Kreuter B.","year":"2012","unstructured":"B. Kreuter , A. Shelat , and C.-H. Shen . Billion-gate secure computation with malicious adversaries . In USENIX Security , 2012 . B. Kreuter, A. Shelat, and C.-H. Shen. Billion-gate secure computation with malicious adversaries. In USENIX Security, 2012."},{"key":"e_1_3_2_2_84_1","volume-title":"Nordic Workshop on Secure IT Systems (NordSec)","author":"Laur S.","year":"2004","unstructured":"S. Laur and H. Lipmaa . On private similarity search protocols . In Nordic Workshop on Secure IT Systems (NordSec) , 2004 . S. Laur and H. Lipmaa. On private similarity search protocols. In Nordic Workshop on Secure IT Systems (NordSec), 2004."},{"key":"e_1_3_2_2_85_1","volume-title":"RCV1: A new benchmark collection for text categorization research. JMLR, 5(Apr):361--397","author":"Lewis D. D.","year":"2004","unstructured":"D. D. Lewis , Y. Yang , T. G. Rose , and F. Li . RCV1: A new benchmark collection for text categorization research. JMLR, 5(Apr):361--397 , 2004 . D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. RCV1: A new benchmark collection for text categorization research. JMLR, 5(Apr):361--397, 2004."},{"key":"e_1_3_2_2_86_1","volume-title":"Trust region Newton method for logistic regression. JMLR, 9(Apr):627--650","author":"Lin C.-J.","year":"2008","unstructured":"C.-J. Lin , R. C. Weng , and S. S. Keerthi . Trust region Newton method for logistic regression. JMLR, 9(Apr):627--650 , 2008 . C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method for logistic regression. JMLR, 9(Apr):627--650, 2008."},{"key":"e_1_3_2_2_87_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-015-9198-0"},{"key":"e_1_3_2_2_88_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-008-9036-8"},{"key":"e_1_3_2_2_89_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2407157"},{"key":"e_1_3_2_2_90_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13190-5_1"},{"key":"e_1_3_2_2_91_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38348-9_3"},{"key":"e_1_3_2_2_92_1","volume-title":"AAAI workshop on learning for text categorization","author":"McCallum A.","year":"1998","unstructured":"A. McCallum , K. Nigam , A comparison of event models for Naive Bayes text classification . In AAAI workshop on learning for text categorization , 1998 . A. McCallum, K. Nigam, et al. A comparison of event models for Naive Bayes text classification. In AAAI workshop on learning for text categorization, 1998."},{"key":"e_1_3_2_2_93_1","volume-title":"USENIX Security","author":"Melara M. S.","year":"2015","unstructured":"M. S. Melara , A. Blankstein , J. Bonneau , E. W. Felten , and M. J. Freedman . CONIKS: Bringing key transparency to end users . In USENIX Security , 2015 . M. S. Melara, A. Blankstein, J. Bonneau, E. W. Felten, and M. J. Freedman. CONIKS: Bringing key transparency to end users. In USENIX Security, 2015."},{"key":"e_1_3_2_2_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/359460.359473"},{"key":"e_1_3_2_2_95_1","volume-title":"Conf. on Email and Anti-Spam (CEAS)","author":"Metsis V.","year":"2006","unstructured":"V. Metsis , I. Androutsopoulos , and G. Paliouras . Spam filtering with Naive Bayes--which Naive Bayes ? In Conf. on Email and Anti-Spam (CEAS) , 2006 . V. Metsis, I. Androutsopoulos, and G. Paliouras. Spam filtering with Naive Bayes--which Naive Bayes? In Conf. on Email and Anti-Spam (CEAS), 2006."},{"key":"e_1_3_2_2_96_1","volume-title":"ProPublica","author":"Meyer T.","year":"2014","unstructured":"T. Meyer . No warrant, no problem: How the government can get your digital data . ProPublica , June 2014 . https:\/\/www.propublica.org\/special\/no-warrant-no-problem-how-the-government-can-still-get-your-digital-data\/. T. Meyer. No warrant, no problem: How the government can get your digital data. ProPublica, June 2014. https:\/\/www.propublica.org\/special\/no-warrant-no-problem-how-the-government-can-still-get-your-digital-data\/."},{"key":"e_1_3_2_2_97_1","unstructured":"Microsoft. Law enforcement requests report. https:\/\/www.microsoft.com\/about\/csr\/transparencyhub\/lerr\/.  Microsoft. Law enforcement requests report. https:\/\/www.microsoft.com\/about\/csr\/transparencyhub\/lerr\/."},{"key":"e_1_3_2_2_98_1","volume-title":"NIPS","author":"Ng A. Y.","year":"2001","unstructured":"A. Y. Ng and M. I. Jordan . On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes . In NIPS , 2001 . A. Y. Ng and M. I. Jordan. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In NIPS, 2001."},{"key":"e_1_3_2_2_99_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"e_1_3_2_2_100_1","volume-title":"Privacy preserving spam filtering. arXiv preprint arXiv:1102.4021","author":"Pathak M. A.","year":"2011","unstructured":"M. A. Pathak , M. Sharifi , and B. Raj . Privacy preserving spam filtering. arXiv preprint arXiv:1102.4021 , 2011 . M. A. Pathak, M. Sharifi, and B. Raj. Privacy preserving spam filtering. arXiv preprint arXiv:1102.4021, 2011."},{"key":"e_1_3_2_2_101_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44618-9_22"},{"key":"e_1_3_2_2_102_1","volume-title":"Feb.","author":"Perez S.","year":"2017","unstructured":"S. Perez . Microsoft's Cortana can now create reminders from your emails , Feb. 2017 . https:\/\/techcrunch.com\/2017\/02\/09\/microsofts-cortana-can-now-create-reminders-from-your-emails\/. S. Perez. Microsoft's Cortana can now create reminders from your emails, Feb. 2017. https:\/\/techcrunch.com\/2017\/02\/09\/microsofts-cortana-can-now-create-reminders-from-your-emails\/."},{"key":"e_1_3_2_2_103_1","volume-title":"Wired","author":"Poulsen K.","year":"2008","unstructured":"K. Poulsen . Five IRS employees charged with snooping on tax returns . Wired , May 2008 . https:\/\/www.wired.com\/2008\/05\/five-irs-employ\/. K. Poulsen. Five IRS employees charged with snooping on tax returns. Wired, May 2008. https:\/\/www.wired.com\/2008\/05\/five-irs-employ\/."},{"key":"e_1_3_2_2_104_1","article-title":"A statistical approach to the spam problem","author":"Robinson G.","year":"2003","unstructured":"G. Robinson . A statistical approach to the spam problem . Linux Journal , Mar. 2003 . http:\/\/www.linuxjournal.com\/article\/6467. G. Robinson. A statistical approach to the spam problem. Linux Journal, Mar. 2003. http:\/\/www.linuxjournal.com\/article\/6467.","journal-title":"Linux Journal"},{"key":"e_1_3_2_2_105_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44709-3_21"},{"key":"e_1_3_2_2_106_1","volume-title":"Intl. Conf. on Information Security and Cryptology (ICISC)","author":"Sadeghi A.-R.","year":"2009","unstructured":"A.-R. Sadeghi , T. Schneider , and I. Wehrenberg . Efficient privacy-preserving face recognition . In Intl. Conf. on Information Security and Cryptology (ICISC) , 2009 . A.-R. Sadeghi, T. Schneider, and I. Wehrenberg. Efficient privacy-preserving face recognition. In Intl. Conf. on Information Security and Cryptology (ICISC), 2009."},{"key":"e_1_3_2_2_108_1","volume-title":"TREC","author":"Sculley D.","year":"2007","unstructured":"D. Sculley and G. Wachman . Relaxed online SVMs in the TREC spam filtering track . In TREC , 2007 . D. Sculley and G. Wachman. Relaxed online SVMs in the TREC spam filtering track. In TREC, 2007."},{"key":"e_1_3_2_2_109_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277813"},{"key":"e_1_3_2_2_110_1","volume-title":"Recent developments in explicit constructions of extractors. Bulletin of the European Association for Theoretical Computer Science (EATCS), 77(67-95):10","author":"Shaltiel R.","year":"2002","unstructured":"R. Shaltiel . Recent developments in explicit constructions of extractors. Bulletin of the European Association for Theoretical Computer Science (EATCS), 77(67-95):10 , 2002 . R. Shaltiel. Recent developments in explicit constructions of extractors. Bulletin of the European Association for Theoretical Computer Science (EATCS), 77(67-95):10, 2002."},{"key":"e_1_3_2_2_111_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2010.172"},{"key":"e_1_3_2_2_112_1","volume-title":"Nov.","author":"Soghoian C.","year":"2011","unstructured":"C. Soghoian . Two honest Google employees : our products don't protect your privacy , Nov. 2011 . http:\/\/paranoia.dubfire.net\/2011\/11\/two-honest-google-employees-our.html. C. Soghoian. Two honest Google employees: our products don't protect your privacy, Nov. 2011. http:\/\/paranoia.dubfire.net\/2011\/11\/two-honest-google-employees-our.html."},{"key":"e_1_3_2_2_113_1","volume-title":"Google Security Blog","author":"Somogyi S.","year":"2014","unstructured":"S. Somogyi . Making end-to-end encryption easier to use . Google Security Blog , June 2014 . https:\/\/security.googleblog.com\/2014\/06\/making-end-to-end-encryption-easier-to.html. S. Somogyi. Making end-to-end encryption easier to use. Google Security Blog, June 2014. https:\/\/security.googleblog.com\/2014\/06\/making-end-to-end-encryption-easier-to.html."},{"key":"e_1_3_2_2_114_1","volume-title":"TinyGarble: Highly compressed and scalable sequential garbled circuits","author":"Songhori E. M.","year":"2015","unstructured":"E. M. Songhori , S. U. Hussain , A.-R. Sadeghi , T. Schneider , and F. Koushanfar . TinyGarble: Highly compressed and scalable sequential garbled circuits . In IEEE S &P, 2015 . E. M. Songhori, S. U. Hussain, A.-R. Sadeghi, T. Schneider, and F. Koushanfar. TinyGarble: Highly compressed and scalable sequential garbled circuits. In IEEE S&P, 2015."},{"key":"e_1_3_2_2_115_1","volume-title":"Yahoo Tumblr Blog","author":"Stamos A.","year":"2015","unstructured":"A. Stamos . User-focused security : End-to-end encryption extension for Yahoo Mail . Yahoo Tumblr Blog , Mar. 2015 . https:\/\/yahoo.tumblr.com\/post\/113708033335\/user-focused-security-end-to-end-encryption. A. Stamos. User-focused security: End-to-end encryption extension for Yahoo Mail. Yahoo Tumblr Blog, Mar. 2015. https:\/\/yahoo.tumblr.com\/post\/113708033335\/user-focused-security-end-to-end-encryption."},{"key":"e_1_3_2_2_116_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2563436"},{"key":"e_1_3_2_2_117_1","volume-title":"USENIX Security","author":"Tram\u00e8r F.","year":"2016","unstructured":"F. Tram\u00e8r , F. Zhang , A. Juels , M. K. Reiter , and T. Ristenpart . Stealing machine learning models via prediction APIs . In USENIX Security , 2016 . F. Tram\u00e8r, F. Zhang, A. Juels, M. K. Reiter, and T. Ristenpart. Stealing machine learning models via prediction APIs. In USENIX Security, 2016."},{"key":"e_1_3_2_2_118_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74553-2_39"},{"key":"e_1_3_2_2_119_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535573.2488336"},{"key":"e_1_3_2_2_120_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775142"},{"key":"e_1_3_2_2_121_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-006-0041-y"},{"key":"e_1_3_2_2_122_1","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2013.80"},{"key":"e_1_3_2_2_123_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0073-7"},{"key":"e_1_3_2_2_124_1","volume-title":"Fortune","author":"Vanderkam L.","year":"2012","unstructured":"L. Vanderkam . Stop checking your email, now . Fortune , Oct. 2012 . http:\/\/fortune.com\/2012\/10\/08\/stop-checking-your-email-now\/. L. Vanderkam. Stop checking your email, now. Fortune, Oct. 2012. http:\/\/fortune.com\/2012\/10\/08\/stop-checking-your-email-now\/."},{"key":"e_1_3_2_2_125_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2014.20"},{"key":"e_1_3_2_2_126_1","unstructured":"WhatsApp. WhatsApp FAQ - End-to-End Encryption. https:\/\/www.whatsapp.com\/faq\/en\/general\/28030015.  WhatsApp. WhatsApp FAQ - End-to-End Encryption. https:\/\/www.whatsapp.com\/faq\/en\/general\/28030015."},{"key":"e_1_3_2_2_127_1","volume-title":"2016 Democratic National Committee email leak","year":"2014","unstructured":"Wikipedia. 2016 Democratic National Committee email leak , 2014 . https:\/\/en.wikipedia.org\/wiki\/2016_Democratic_National_Committee_email_leak. Wikipedia. 2016 Democratic National Committee email leak, 2014. https:\/\/en.wikipedia.org\/wiki\/2016_Democratic_National_Committee_email_leak."},{"key":"e_1_3_2_2_128_1","volume-title":"Sony pictures hack","year":"2014","unstructured":"Wikipedia. Sony pictures hack , 2014 . https:\/\/en.wikipedia.org\/wiki\/Sony_Pictures_hack. Wikipedia. Sony pictures hack, 2014. https:\/\/en.wikipedia.org\/wiki\/Sony_Pictures_hack."},{"key":"e_1_3_2_2_129_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014145"},{"key":"e_1_3_2_2_130_1","unstructured":"Yahoo! https:\/\/github.com\/yahoo\/end-to-end.  Yahoo! https:\/\/github.com\/yahoo\/end-to-end."},{"key":"e_1_3_2_2_131_1","unstructured":"Yahoo! Transparency report: Overview. https:\/\/transparency.yahoo.com\/.  Yahoo! Transparency report: Overview. https:\/\/transparency.yahoo.com\/."},{"key":"e_1_3_2_2_132_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.9"},{"key":"e_1_3_2_2_133_1","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1982.38"},{"key":"e_1_3_2_2_134_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2008.11.001"},{"key":"e_1_3_2_2_135_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141277.1141415"},{"key":"e_1_3_2_2_136_1","doi-asserted-by":"publisher","DOI":"10.1007\/11731139_74"},{"key":"e_1_3_2_2_138_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-46803-6_8"},{"key":"e_1_3_2_2_139_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.21"},{"key":"e_1_3_2_2_140_1","volume-title":"Sept.","author":"Zetter K.","year":"2010","unstructured":"K. Zetter . Ex-Googler allegedly spied on user e-mails , chats , Sept. 2010 . https:\/\/www.wired.com\/2010\/09\/google-spy\/. K. Zetter. Ex-Googler allegedly spied on user e-mails, chats, Sept. 2010. https:\/\/www.wired.com\/2010\/09\/google-spy\/."},{"issue":"2","key":"e_1_3_2_2_141_1","first-page":"3","article-title":"The optimality of Naive Bayes","volume":"1","author":"Zhang H.","year":"2004","unstructured":"H. Zhang . The optimality of Naive Bayes . AA , 1 ( 2 ): 3 , 2004 . H. Zhang. The optimality of Naive Bayes. AA, 1(2):3, 2004.","journal-title":"AA"},{"key":"e_1_3_2_2_142_1","doi-asserted-by":"publisher","DOI":"10.1007\/11527503_88"},{"key":"e_1_3_2_2_143_1","volume-title":"Collaborative Computing: Networking, Applications, and Worksharing (CollaborateCom).","author":"Zhu Y.","year":"2015","unstructured":"Y. Zhu , Z. Wang , B. Hassan , Y. Zhang , J. Wang , and C. Qian . Fast secure scalar product protocol with (almost) optimal efficiency . In Collaborative Computing: Networking, Applications, and Worksharing (CollaborateCom). 2015 . Y. Zhu, Z. Wang, B. Hassan, Y. Zhang, J. Wang, and C. Qian. Fast secure scalar product protocol with (almost) optimal efficiency. In Collaborative Computing: Networking, Applications, and Worksharing (CollaborateCom). 2015."},{"key":"e_1_3_2_2_144_1","volume-title":"MIT press","author":"Zimmermann P. R.","year":"1995","unstructured":"P. R. Zimmermann . The official PGP user's guide. MIT press , 1995 . P. R. Zimmermann. The official PGP user's guide. 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