Privacy-Preserving Data Mining How do we mine data when we can t even look at it

Jul 13, 2013

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Privacy and Security Constraints. Individual PrivacyNobody should know more about any entity after the data mining than they did beforeApproaches: Data Obfuscation, Value swappingOrganization PrivacyProtect knowledge about a collection of entitiesIndividual entity values may be known to all pa

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Privacy-Preserving Data Mining How do we mine data when we can t even look at it

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Random Data Perturbation Techniques and Privacy Preserving Data Mining

2. Privacy

526 views • 23 slides

Privacy-Preserving Data Mining

Privacy-Preserving Data Mining. Rakesh Agrawal Ramakrishnan Srikant IBM Almaden Research Center 650 Harry Road, San Jose, CA 95120 Published in: ACM SIGMOD International Conference on Management of Data, 2000. Slides by: Adam Kaplan (for CS259, Fall’03). What is Data Mining?.

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Privacy Preserving Data Mining

Privacy Preserving Data Mining. Yehuda Lindell & Benny Pinkas. Summary . Objective Various components / tools needed Algorithm. Objective . Perform Data-mining on union of two private databases Data stays private i.e. no party learns anything but output. Assumptions.

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How Do We Look?

How Do We Look?. A brief summary of HypnoBirthing outcome data. Online Surveys June 2009-October 22, 2010. 3700 Class Reports Filed 9155 mothers taught world wide 2752 Course and Practitioner Evaluations filed 1570 Parent Birth Reports filed 1716 Birth reports filed between 2005 and 2009

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Randomization in Privacy Preserving Data Mining

Randomization in Privacy Preserving Data Mining. Agrawal , R., and Srikant , R. Privacy-Preserving Data Mining, ACM SIGMOD’00 the following slides include materials from this paper . Privacy-Preserving Data Mining. Problem: How do we publish data without compromising individual privacy?

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“We Can Do It!”

“We Can Do It!”. Presentation by: Shelby Morgan. We Can do it!. This popular image by J. Howard Miller was first made famous in World War 2. This image has been made a famous icon in the feminist world because of its encouraging image of women taking charge. The image is of a factory worker

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data privacy-preserving

data privacy-preserving. Nguyen Dinh Thuc University of Science, HCMC ndthuc@fit.hcmus.edu.vn. Query. Storage node. Reply. Sink. Query. Let D: domain of data N: number of sensor nodes. Reply. Storage node. two-tiered model. Divide by partition D into multiple buckets

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Big Data What does it mean ? How do we mine it?

Big Data What does it mean ? How do we mine it?. John Johansen October 2013 jjohansen@agiletech.com. Session Objective. Who saw that coming! Our organizations’ data is increasingly capable of helping us anticipate and plan for the unexpected.

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Privacy Preserving Data Mining

Privacy Preserving Data Mining. Yehuda Lindell Benny Pinkas. Presenter: Justin Brickell. Mining Joint Databases. Parties P 1 and P 2 own databases D 1 and D 2 f is a data mining algorithm Compute f ( D 1  D 2 ) without revealing “unnecessary information”.

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Privacy-Preserving Distributed Data Mining

Privacy-Preserving Distributed Data Mining. Chris Clifton This talk presents joint work with Prof. Mike Atallah, Murat Kantarcioglu, Xiadong Lin, and Jaideep Vaidya. What is Privacy Preserving Data Mining?. Term appeared in 2000: Agrawal and Srikant, SIGMOD

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Privacy Preserving Data Mining within Anonymous Credentials

Problem definition and motivation. Context: Cryptographic anonymous credentials are very useful for privacy protection. There have been many anonymous credential schemes.

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Technical Seminar On Privacy Preserving Data Mining

Technical Seminar On Privacy Preserving Data Mining. Under The guidance of Indraneel Mukhopadhyay By Sarmila Acharya Roll No. :200157041 Branch: IT. Statistical approaches Alter the frequency ( PRAN/DS/PERT ) of particular features, while preserving means.

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We CAN Do It!!

The Impact of World War II on Women By: Courtney Thompson, Courtney Reale , Megan Swinimer, Stacey Wilson, Karen Castellan. We CAN Do It!!. (Singularity, 2008). Agenda. A brief history of where the world was during the Second World War Women’s status and how it shifted during this time

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Data Transformation for Privacy-Preserving Data Mining

Database Laboratory. Data Transformation for Privacy-Preserving Data Mining. Stanley R. M. Oliveira Database Systems Laboratory Computing Science Department University of Alberta, Canada. Graduate Seminar November 26 th , 2004. Introduction. Motivation.

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Data Transformation for Privacy-Preserving Data Mining

Database Laboratory. Data Transformation for Privacy-Preserving Data Mining. Stanley R. M. Oliveira Database Systems Laboratory Computing Science Department University of Alberta, Canada. PhD Thesis - Final Examination November 29 th , 2004. Introduction. Motivation.

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Privacy-Preserving Databases and Data Mining

Privacy-Preserving Databases and Data Mining. Y ü cel SAYGIN ysaygin@sabanciuniv.edu http://people.sabanciuniv.edu/~ysaygin/. Outline. Privacy : an informal discussion Overview of data mining Overview of privacy preserving databases and data mining Privacy preserving data mining

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Data Warehousing How do we use the data now that we have it?

Data Warehousing How do we use the data now that we have it?. David Rutherford Director, Instructional Support Services ONC BOCES May 18, 2007. Where Are We Going?. Data Analysis in the ONC BOCES Region Using the 3-8 Assessments for School Improvement

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Inference Problem Privacy Preserving Data Mining

Inference Problem Privacy Preserving Data Mining. Readings and Assignments. Required: Pfleeger : Chapter 7 Interesting reading:

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Privacy-Preserving Data Mining

CS 380S. Privacy-Preserving Data Mining. Vitaly Shmatikov. Reading Assignment. Evfimievski, Gehrke, Srikant. “Limiting Privacy Breaches in Privacy-Preserving Data Mining” (PODS 2003). Blum, Dwork, McSherry, and Nissim. “Practical Privacy: The SuLQ Framework” (PODS 2005). x 1 +  1 …

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WE Can Do It!

WE Can Do It!. TEAM BUILDING . TEAM BUILDING. Goals Practice Staff Individual. How we receive information. TACTILE VISUAL AUDITORY. Receive Information. Words of affirmation Quality time Acts of service Physical touch Gifts. TEAMWORK. TEAMWORK

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Privacy Preserving Data Mining

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Data Transformation for Privacy-Preserving Data Mining

576 views • 49 slides

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