Privacy-Preserving ML_ Federated Learning for Data Security

Mar 26, 2025

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Learn how Federated Learning enhances data security while preserving privacy. Enroll in a machine learning course in Canada to master this cutting-edge technology.

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Privacy-Preserving ML_ Federated Learning for Data Security

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Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing

Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing. Cong Wang 1 , Qian Wang 1 , Kui Ren 1 and Wenjing Lou 2 1 Illinois Institute of Technology, 2 Worcester Polytechnic Institute Proceedings of IEEE Infocom 2010. Computer Systems Lab Group Meeting

2.21k views • 21 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?.

493 views • 22 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.

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Privacy-Preserving Data Mashup

Privacy-Preserving Data Mashup. Noman Mohammed Concordia University Montreal, QC, Canada no_moham@ciise.concordia.ca. Benjamin C.M. Fung Concordia University Montreal, QC, Canada fung@ciise.concordia.ca. Ke Wang Simon Fraser University Burnaby, BC, Canada wangk@cs.sfu.ca.

466 views • 27 slides

Privacy Preserving Data Dissemination

Privacy Preserving Data Dissemination. Dr. Murat Kantarcioglu (muratk@utdallas.edu) Harichandan Roy ( harichandan.roy@utdallas.edu) Data Security and Privacy Lab UT Dallas. What is Task 1?. Given- case/control datasets Desired result- perturbed datasets. Method applied. snps. snps.

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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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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 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.

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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.

831 views • 49 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. PhD Thesis - Final Examination November 29 th , 2004. Introduction. Motivation.

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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.

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Privacy-preserving data warehousing for spatio-temporal data

Privacy-preserving data warehousing for spatio-temporal data. Maria L. Damiani, Università Milano (I). Report. The report contains two contributions: M.L. Damiani, S. Spaccapietra, Spatial Data Warehouse Modelling

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Privacy-Preserving Data Publishing

Privacy-Preserving Data Publishing. Donghui Zhang Northeastern University. Acknowledgement: some slides come from Yufei Tao and Dimitris Sacharidis. motivation. several agencies, institutions, bureaus, organizations make (sensitive) data involving people publicly available

1.08k views • 44 slides

Privacy-Preserving Data Sharing

Privacy-Preserving Data Sharing. Michael Siegenthaler Ken Birman Cornell University. ID. ID. ID. Introduction. Today, personal data is typically stored electronically But systems at distinct organizations have no way to communicate with each other. System Model. Acme Food and Drug.

395 views • 17 slides

Privacy Preserving Approaches for High Dimensional Data

This paper proposes a model for hiding sensitive association rules for Privacy preserving in high dimensional data. Privacy preservation is a big challenge in data mining. The protection of sensitive information becomes a critical issue when releasing data to outside parties. Association rule mining could be very useful in such situations. It could be used to identify all the possible ways by which 'non confidential' data can reveal 'confidential' data, which is commonly known as 'inference problem'. This issue is solved using Association Rule Hiding ARH techniques in Privacy Preserving Data Mining PPDM . Association rule hiding aims to conceal these association rules so that no sensitive information can be mined from the database. Tata Gayathri | N Durga "Privacy Preserving Approaches for High Dimensional Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: https://www.ijtsrd.com/papers/ijtsrd2430.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/2430/privacy-preserving-approaches-for-high-dimensional-data/tata-gayathri

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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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Privacy Preserving Data Mining

311 views • 27 slides

Data Transformation for Privacy-Preserving Data Mining

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Privacy Preserving Data Mining

Privacy Preserving Data Mining. Benjamin Fung bfung(at)cs.sfu.ca. Privacy Preserving Data Mining. What is data mining?

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Quantum Technologies for Privacy-Preserving Machine Learning

Quantum technologies hold significant promise in the realm of privacy-preserving machine learning, providing innovative solutions to enhance data security and confidentiality. Privacy concerns are paramount in the era of big data, and quantum technologies offer unique capabilities to protect sensitive information during machine learning tasks.

32 views • 7 slides

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