Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
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Updated
May 10, 2024 - C++
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Anonymization methods for network security.
Evaluating variety of k-Anonymity techniques.
Anonymizing Library for Apache Spark
Repertoire sur l'anonymisation
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
Anonymization library for python. Protect the privacy of individuals.
Caterpillar Proxy - The simple web debugging proxy (formerly, php-httpproxy)
ANJANA is a Python library for anonymizing sensitive data
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
Library for easily interfacing with Have I Been Pwned API v2
Passchek is a simple cli tool, checks if your password has been compromised.
Go wrapper service for the STAR randomness server.
Scalable distributed data anonymization for large datasets
A repo that takes you through some principles about data privacy based on the Kenya Data Protection Act and General Data Protection Regulation. Useful for a data person.
The command line tool 'pwnedk' checks whether a particular password is leaked applying k-anonymity via the API "Searching by range" of HIBP.
An application of the "Mondrian Multidimensional K-Anonymity" article in Python
Implementation of Mondrian k-anonymity algorithm
Impacts of data anonymization on model prediction for diabetes
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