PPT-Privacy Enhancing Technologies

Elaine Shi Lecture 1 Landscape Privacy Definitions and Landscape Attacks against Privacy What Is Privacy NonPrivacy NonPrivacy Collecting information unbeknownst to users Sellshare users information to thirdparties violating contractstermsofuseexpectations. 1. What is challenging about standard encryption?. Challenge: Privacy versus Data Utilization Dilemma.  . Client. Storage on the cloud. Sensitive. . data!. . Outsource the . data. SEARCH? . ANALYZE? . 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.  . אהרון . האופטמן. היחידה לחיזוי טכנולוגי וחברתי, אוניברסיטת ת"א. haupt@post.tau.ac.il www.notes.co.il/hauptman . Not predicting a pre-determined future, but exploring . Elaine Shi. Lecture 3 . Differential Privacy. Some slides adapted from Adam . Smith. ’. s . lecture and other talk slides. Roadmap. Defining Differential Privacy. Techniques for Achieving DP. Output perturbation. Yan Luo. , Univ. of Massachusetts Lowell. Co-PI: Cody . Bumgardner. , Univ. of Kentucky. Co-PI: Gabriel . Ghinita. , Univ. of Massachusetts Boston. Co-PI: Michael . CS408-01 Final Paper Presentation. By: Christina Sulfaro . Privacy Lost . Privacy Lost: How Technology is Endangering Your Privacy. The author is David H. . Holtzman. Published in 2006. Book Overview . Learning. Charis Thompson. Chancellor’s Professor, UC Berkeley . Professor, . LSE. ABSTRACT and stakes. In this talk I review some of the biggest threats - for example, algorithmic oppression and triage, exacerbation of bubble chambers and inequality, and cybersecurity and autonomous weapons - and some of the biggest opportunities of the current state of machine learning, and consider the major approaches being taken to guiding machine learning for human benefit.  I then describe three initiatives we are pursuing to intervene, implement, and archive better practice. Kassem. . Fawaz. and Kang G. Shin. Computer Science & Engineering. The University . of Michigan. Location-aware Apps. Location-aware mobile devices. iPhone 6, Galaxy S5 …. Location-Based Services. : nectar or poison?. Made by: . Beato. , . Scalella. , . Coccia. , Ludovico. What is doping?. Used in the field of competitive . sportsplay. , “. doping. ” represents the act of using external substances in order to . rights and obligations of individuals and organizations with respect to the collection, use, retention, disclosure, and destruction of personal information. .. This pertains to the . Privacy of Personal Information. Document Part 2. Learning Objectives. Add WordArt. Wrap text around graphics. Work with columns. Work with building blocks. CMPTR Chapter 12: Enhancing a Document. 2. WordArt. is formatted, decorative text that is treated as a graphic object.. ENHANCING WORKFLOW AND VISIBILITY FOR COLLECTIONS IN THE UHM INSTITUTIONAL REPOSITORY Beth Tillinghast University of Hawaii at Manoa OCLC Webinar May 3, 2012 Institutional Repositories http://scholarspace.manoa.hawaii.edu/ On Enhancing the Performance of Bufferless Network-on-Chip By Mohamed Assem Abd ElMohsen Ibrahim Under the Supervision of Dr. Hatem M. El- Boghdadi Master’s Thesis Computer Engineering Department The Privacy Institutions Risk Management Framework. Professor Peter Swire . Georgia Tech Scheller College of Business. Alston & Bird LLC. NIST Privacy Framework Conference. May 12, 2019. Introduction.