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PP-TAN: a Privacy Preserving Multi-party Tree Augmented Naive Bayes Classifier.

, , , and . SEEDA-CECNSM, page 1-8. IEEE, (2020)

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Insiders Trapped in the Mirror Reveal Themselves in Social Media., , , and . NSS, volume 7873 of Lecture Notes in Computer Science, page 220-235. Springer, (2013)Scaling private proximity testing protocols for geofenced information exchange: A metropolitan-wide case study., , , and . Comput. Networks, (2024)Search Engines: Gateway to a New "Panopticon"?, , , and . TrustBus, volume 5695 of Lecture Notes in Computer Science, page 11-21. Springer, (2009)Youtube User and Usage Profiling: Stories of Political Horror and Security Success., , , and . ICETE (Selected Papers), volume 456 of Communications in Computer and Information Science, page 270-289. Springer, (2013)PP-TAN: a Privacy Preserving Multi-party Tree Augmented Naive Bayes Classifier., , , and . SEEDA-CECNSM, page 1-8. IEEE, (2020)Profiling online social networks users: an omniopticon tool., , , and . IJSNM, 2 (4): 293-313 (2017)Revisiting Legal and Regulatory Requirements for Secure E-Voting., , and . SEC, volume 214 of IFIP Conference Proceedings, page 469-480. Kluwer, (2002)Data Breach Notification: Issues and Challenges for Security Management., and . MCIS, page 60. University of Nicosia / AISeL, (2016)Digital forensics in the Cloud Computing Era., , and . GLOBECOM Workshops, page 775-780. IEEE, (2012)Human Control and Discretion in AI-driven Decision-making in Government., , and . ICEGOV, page 10-16. ACM, (2021)