PPT-Collaborative, Privacy-Preserving

Data Aggregation at Scale Michael J Freedman Princeton University Joint work with Benny Applebaum Haakon Ringberg Matthew Caesar and Jennifer Rexford Problem Network Anomaly Detection. Z. . Zhong. , L. . Ramaswamy. and K. Li, IEEE, INFOCOM 2008. Intelligent E-Commerce System Lab.. Aettie. , . Ji. OUTLINE. INTORDUCTION. PRIOR WORK. THE ALPACAS ANTI-SPAM FRAMEWORK. Feature-Preserving Fingerprint. Database Services in the Cloud. Divy. . Agrawal. , . Amr. El . Abbadi. , . Shiyuan. Wang. University of California, Santa Barbara. {. agrawal. , . amr. , . sywang. }@cs.ucsb.edu. ICDE’2013 Tutorial. By: Moreno-Sanchez et al from Saarland University. Presented By: Cody Watson. Some Slides Borrowed From NDSS’15 Conference. What is a Credit . Network?. Weighted directed graph used to represent credit. Surveillance. Aaron . Segal. Yale University. May 11, 2016. Advisor: Joan . Feigenbaum. . “…an unspeakable blasphemy.” - @. Dymaxion. Overview. Introduction – Surveillance and Privacy. B. Hoh, M. . Gruteser. , H. . Xiong. , and A. . Alrabady. . ACM CCS. Presented by . Solomon Njorombe. Abstract. Motivation. Probe-vehicle automotive monitoring systems. Guaranteed anonymity in location traces datasets. . and. . Fault-Tolerant. Data. . Storage. Haibin Zhang (UConn). haibin. .zhang. @. uconn.edu. http://. scl.uconn.edu. /people/. haibin. /. info.php. Research. . Interests:. . Security. . and. . Surveillance. Aaron . Segal. Yale University. May 11, 2016. Advisor: Joan . Feigenbaum. . “…an unspeakable blasphemy.” - @. Dymaxion. Overview. Introduction – Surveillance and Privacy. Prepared by: Eng. . Hiba. Ramadan. Supervised by: . Dr. . Rakan. . Razouk. . Outline. Introduction. key directions in the field of privacy-preserving data mining. Privacy-Preserving Data Publishing. Aaron Johnson. Vitaly Shmatikov. Background. Main goal: . discovering genetic basis for disease. Requires analyzing large volumes of genetic information from multiple individuals. Voluntary and mandated sharing of genetic datasets between hospitals, biomedical research orgs, other data holders. Why worry about your privacy?. Specific safety threats to military members and families. Identity theft for adults and children following data breaches. Desire to stay out of the media spotlight. A personal right in the US, guaranteed by the Constitution. Presented By:. Humam. . Nameer. 1. CASE STUDY. Just over three years old, . Clash of Clans.  rakes in more than $. 5M.  each day and consistently charts in the top three grossing . apps. .  It’s the app that new game developers look to for . Raed Saeed. Advisors:. Prof. Rashid . Mehmood. . & Dr. . Iyad. . Katib. Previous Advisor:. Dr. . Jonathan . Cazalas. . Computer Science Department. College of Computing and Information Technology. Case Studies from the Data Linkage Program. Lisa B. Mirel. Board of Scientific Counselors. May 19, 2021. Introduction. Linking data is a powerful mechanism to provide policy relevant information in an efficient way. A. Konstantinidis. 1. , G. Chatzimilioudis. 1. , D. . . Zeinalipour-Yazti. 1. , . Paschalis Mpeis. 2. , . Nikos Pelekis. 3. , . Yannis. Theodoridis. 3. University of Cyprus. 1. . University of Edinburgh.