mcgill-dmas Goto Github PK
Name: Data Mining and Security Lab
Type: Organization
Bio: @ McGill University
Location: 3661 Peel St., Montreal, Quebec, Canada, H3A 1X1
Name: Data Mining and Security Lab
Type: Organization
Bio: @ McGill University
Location: 3661 Peel St., Montreal, Quebec, Canada, H3A 1X1
Generating Functional Natural Language Descriptions for Assembly Code
Authorship Anonymization through Style Transfer
Learning Stylometric Representation for Authorship Analysis
A hierarchical document clustering method based on frequent itemsets
Fake and satirical news classifier
Genetic algorithm-based graph explainer for malware analysis
Markerless tracking of user-defined features with deep learning
IFFNN: Interpretable Feedforward Neural Network
The Kam1n0 Assembly Analysis Platform
Demo of NIC to Support Secure Credentials Transactions (SecNIC)
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
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
Differentially private multidimensional data publishing
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
Anonymize trajectory stream
Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010] - anonymize a relational dataset to achieve LKC-privacy
Anonymizing trajectory data for passenger flow analysis [TRC 2014] - anonymize a trajectory dataset to achieve LK-privacy by using local suppression for flowgraph analysis
Top-down specialization for information and privacy preservation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.