Privacy-preserving Distributed Learning using Generative Models

Aug 05, 2012

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8/4/2012. 2. Agenda. Introduction Related Work and BackgroundCompleted ResearchProposed ResearchSummary. 8/4/2012. 3. Classification (supervised)Given: objects and class labelsGoal: find characteristics of classClustering (unsupervised)Given: unlabeled objectsGoal: find clusters of o

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Privacy-preserving Distributed Learning using Generative Models

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1. 8/5/2012 1 Privacy-preserving Distributed Learning using Generative Models

Generative Models For Text

Motivation. Why embed to Lower Dimension?The vector space methodterm (rows) by document (columns) matrix, based on occurrencetranslate into vectors in a vector spaceone vector for each documentcosine to measure distance between vectors (documents)small angle = large cosine = similarlarge angl

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P4P: A Practical Framework for Privacy-Preserving Distributed Computation

P4P: A Practical Framework for Privacy-Preserving Distributed Computation. Yitao Duan (Advisor Prof. John Canny) http://www.cs.berkeley.edu/~duan Berkeley Institute of Design Computer Science Division University of California, Berkeley 11/27/2007. Research Goal.

557 views • 47 slides

Generative Models vs. Discriminative models

Generative Models vs. Discriminative models. Roughly: Discriminative Feedforw ard Bottom-up Generative Feedforward recurrent feedback Bottom-up horizontal top-down. Compositional generative models require a flexible, “universal,” representation format for relationships.

632 views • 33 slides

Generative Models

Generative Models. Announcements. Probability Review (Friday, 1:15 Gates B03). Late days…. To be fair…. double late days. Start the p-set early. Where we are. Search. Machine Learning. CS221. Variable Based. Search. Machine Learning. CS221. Variable Based. Search. Machine Learning.

852 views • 64 slides

Privacy Preserving In LBS

Privacy Preserving In LBS. Evaluating Privacy of LBS Algorithms In Dynamic Context. Outline. Introduction Design Model & Workflow System Design Specification : General Approach Build Privacy Case Based Database Conclusion & Future Work. Design Specification : General Approach.

392 views • 17 slides

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

296 views • 9 slides

Privacy-preserving DRM

Privacy-preserving DRM. Radia Perlman; Intel Laboratories Charlie Kaufman; Microsoft Ray Perlner; NIST. The problem. Let Alice purchase content Without anyone knowing which content she purchased. Basic approach. Obtain (encrypted) content somehow from satellite TV

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Virtual Trip Lines for Distributed Privacy-Preserving Traffic Monitoring

Virtual Trip Lines for Distributed Privacy-Preserving Traffic Monitoring. Baik Hoh, Marco Gruteser WINLAB / ECE Dept., Rutgers University Ryan Herring, Jeff Ban a , Dan Work, Juan-Carlos Herrera, Alexandre Bayen Civil Engineering Dept., UC Berkeley Murali Annavaram , Quinn Jacobson

266 views • 18 slides

Privacy-Preserving Schema Matching Using Mutual Information

Privacy-Preserving Schema Matching Using Mutual Information. Isabel F. Cruz University of Illinois at Chicago Roberto Tamassia Danfeng Yao Brown University. Supported in part by the National Science Foundation under ITR awards IIS–0326284, IIS–0324846, and IIS–0513553.

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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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Structure Learning for NLP Named-entity recognition using generative models

Master in Artificial Intelligence (MIA). Structure Learning for NLP Named-entity recognition using generative models. An Algorithm that Learns What’s in a Name (IdentiFinder TM ) Dan M. Bikel, Richard Schwartz, Ralph Weischedel Machine Learning Special Issue on Natural Language Learning

226 views • 11 slides

A Distributed Privacy-Preserving Scheme for Location-Based Queries

A Distributed Privacy-Preserving Scheme for Location-Based Queries. Emmanouil Magkos , Panayiotis Kotzanikolaou , Spyros Sioutas, Konstantinos Oikonomou Dept. of Informatics, Ionian Unicersity, Greece Dept. of Informatics, University of Piraeus, Greece. Presentation Overview. Introduction

445 views • 26 slides

Generative Models

Generative Models. for probabilistic inference. Michael Stewart. Remember the Joint Distribution?. What about very large/complex models?. "Generative" Modeling. Implement probability theory in computer science to infer a joint distribution

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Privacy Preserving Learning of Decision Trees

Privacy Preserving Learning of Decision Trees. Benny Pinkas HP Labs Joint work with Yehuda Lindell (done while at the Weizmann Institute). Cryptographic methods. perturbation methods. Cryptographic methods vs. perturbation methods. overhead. This work…. inaccuracy. lack of privacy.

295 views • 19 slides

Privacy-Preserving Distributed Information Sharing

Privacy-Preserving Distributed Information Sharing. Nan Zhang and Wei Zhao Texas A&M University, USA. Outline. Motivation Dealing with malicious adversaries Existing and new protocols Conclusion. Information Sharing between Autonomous Entities Problem definition. Knowledge. Supplier

771 views • 53 slides

Privacy Preserving OLAP

Privacy Preserving OLAP. Rakesh Agrawal, IBM Almaden Ramakrishnan Srikant, IBM Almaden Dilys Thomas, Stanford University. Horizontally Partitioned Personal Information. Client C 1 Original Row r 1 Perturbed p 1. Table T for analysis at server. Client C 2 Original Row r 2

578 views • 39 slides

Privacy-Preserving Computation

Privacy-Preserving Computation. 2006. 12. 22 서울대학교 ISaC 연구센터 서재홍 , 윤효진*. Contents. Introduction Preliminaries Analysis of KS05 Kissner and Song’s Privacy-Preserving Operation Analysis of polynomial representation of element reduction in KS05

374 views • 19 slides

Optimizing Distributed Learning Models:

Optimizing Distributed Learning Models:. An Asset Class Approach to Distance Learning. Mike Menchaca, Ed.D. University of Hawaii mikepm@hawaii.edu. John Cowan, Ph.D. Sacramento State University cowanj@csus.edu. http://iMET.csus.edu. Modern Portfolio Theory.

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User Managed Privacy Using Distributed Trust

User Managed Privacy Using Distributed Trust. Privacy and Security Research Workshop Carnegie Mellon University May 29-30, 2002 Lark M. Allen / Wave Systems Lallen@wavesys.com. Privacy Challenges.

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Privacy-Preserving Clustering

Privacy-Preserving Clustering. Outline. Introduction Related Work Secure Multi-Party Computation Data Sanitization Preliminaries Yao ’ s Millionaires ’ Problem Homomorphic Encryption Privacy-Preserving K-Means Clustering Conclusion. Introduction. Why needs privacy-preserving?

306 views • 25 slides

Privacy Preserving SQL Query Execution on Distributed Data

Privacy Preserving SQL Query Execution on Distributed Data. Benjamin Nguyen, LIFO, INSA Centre Val de Loire Joint work with Cuong Quoc To & Philippe Pucheral DAVID, Inria SMIS, UVSQ. SoSySec Semina r 8 th April 201 6. PART I The New Oil. The New Oil Trusted Cells Global SQL Queries

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