Discover McGill-DMaS/Privacy-DiffGen Open Source project

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16
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Language
C++
License
Other
Created over 9 years ago
Updated over 8 years ago

McGill-DMaS

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Differentially private data release for data mining [SIGKDD 2011] - convert a relational data set into a differentially-private version while maintaining its capability for data mining

Kam1n0-Community

The Kam1n0 Assembly Analysis Platform

604

Authorship-StyloMatrix

Learning Stylometric Representation for Authorship Analysis

Java

Privacy-DiffPart

Publishing Set-Valued Data via Differential Privacy [PVLDB 2011] - convert a transaction data set into a differentially-private version while maintaining its capability for handling count queries and data mining tasks

C++

Privacy-PAIS

Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010] - anonymize a relational dataset to achieve LKC-privacy

C++

Privacy-DiffGen-Hetero

Privacy-preserving heterogeneous health data sharing [JAMIA 2013] - convert a relational data set and a set-valued data set into a differentially-private version while maintaining its capability for data mining

C++

Privacy-DiffMulti

Differentially private multidimensional data publishing

C++

Authorship-Anonymization

Authorship Anonymization through Style Transfer

Python

IFFNN

IFFNN: Interpretable Feedforward Neural Network

Python

Privacy-TALF

Anonymizing trajectory data for passenger flow analysis [TRC 2014] - anonymize a trajectory dataset to achieve LK-privacy by using local suppression for flowgraph analysis

Privacy-TDS

Top-down specialization for information and privacy preservation

C++

Privacy-ITSA

Anonymize trajectory stream

C++

McGill-DMaS/Privacy-DiffGen

McGill-DMaS

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