'Privacy preserving data mining' presentation slideshows

Hippocratic Data Management

Hippocratic Data Management. Rakesh Agrawal IBM Almaden Research Center. Thesis. We need information systems that respect the privacy of data they manage AND do not impede the useful flow of information. It is feasible to reconcile the apparent contradiction.

1.11k views • 78 slides

Privacy Preserving Data Mining

1.27k views • 74 slides

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

733 views • 51 slides

Privacy Preserving Data Mining Lecture 3 Non-Cryptographic Approaches for Preserving Privacy

Privacy Preserving Data Mining Lecture 3 Non-Cryptographic Approaches for Preserving Privacy (Based on Slides of Kobbi Nissim). Benny Pinkas HP Labs, Israel. d. Why not use cryptographic methods?. Many users contribute data. Cannot require them to participate in a cryptographic protocol.

777 views • 51 slides

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.

790 views • 49 slides

Privacy Preserving Data Mining: Challenges & Opportunities

Privacy Preserving Data Mining: Challenges & Opportunities. Ramakrishnan Srikant. Growing Privacy Concerns. Popular Press: Economist: The End of Privacy (May 99) Time: The Death of Privacy (Aug 97) Govt. directives/commissions: European directive on privacy protection (Oct 98)

744 views • 44 slides

555 views • 39 slides

Anonymizing Location-based data

Anonymizing Location-based data. Jarmanjit Singh Jar_sing(at)encs.concordia.ca. Harpreet Sandhu h_san(at)encs.concordia.ca. Qing Shi q_shi(at)encs.concordia.ca. Benjamin Fung fung(at)ciise.concordia.ca. Concordia Institute for Information Systems Engineering Concordia University

485 views • 30 slides

Privacy Preserving Data Mining

513 views • 27 slides

Handcuffing Big Brother: Abuse-Resilient Transaction Escrow

Handcuffing Big Brother: Abuse-Resilient Transaction Escrow. Stanis?aw Jarecki UC Irvine Vitaly Shmatikov SRI International Eurocrypt 2004. Data Collection Poses a Threat to Privacy. Data Collection Examples: Financial transaction records (Detection of fraud and money laundering)

362 views • 27 slides

Sovereign Information Integration

Sovereign Information Integration. Rakesh Agrawal Jt. Work with Srikant & Evfimievski. Outline. Motivation Problem Statement Protocols Challenges. Information Integration Today. Assumption: Information in each database can be freely shared. Mediator. Q. R. Q. R. Centralized.

388 views • 26 slides

DIMACS/PORTIA Workshop on Privacy Preserving Data Mining

DIMACS/PORTIA Workshop on Privacy Preserving Data Mining. Data Mining & Information Privacy: New Problems and the Search for Solutions March 15 th , 2004 Tal Zarsky The Information Society Project, Yale Law School. Introduction: .

389 views • 25 slides

Computing Sketches of Matrices Efficiently & (Privacy Preserving) Data Mining

Computing Sketches of Matrices Efficiently & (Privacy Preserving) Data Mining. Petros Drineas Rensselaer Polytechnic Institute drinep@cs.rpi.edu (joint work with R. Kannan and M. Mahoney) @ DIMACS Workshop on Privacy Preserving Data Mining. Motivation (Data Mining).

341 views • 21 slides

Provenance Views for Module Privacy

367 views • 21 slides

Randomization in Privacy Preserving Data Mining

442 views • 17 slides

OptRR: Optimizing Randomized Response Schemes For Privacy-Preserving Data Mining

OptRR: Optimizing Randomized Response Schemes For Privacy-Preserving Data Mining. Zhengli Huang and Wenliang (Kevin) Du Department of EECS Syracuse University. Data Mining/Analysis. Data cannot be published directly because of privacy concern. Background: Randomized Response.

307 views • 17 slides

Privacy Preserving Data Mining on Moving Object Trajectories

288 views • 16 slides

Data and Applications Security Research at the University of Texas at Dallas

Data and Applications Security Research at the University of Texas at Dallas. Dr. Bhavani Thuraisingham The University of Texas at Dallas April 25, 2006. Cyber Security Research Areas at UTD. Network Security Secure wireless and sensor networks Systems and Language Security

316 views • 16 slides

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.

364 views • 15 slides

Assignment5 Details

Assignment5 Details. The project is a group project; take advantage of your increased man-power and subdivide work between group members intelligently. Group Sizes are 3 or 4 (preferred); 2 is also okay; 5 is not acceptable

141 views • 7 slides