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Projects in Awesome Lists tagged with k-anonymity

A curated list of projects in awesome lists tagged with k-anonymity .

https://github.com/Nuclearstar/K-Anonymity

Anonymization methods for network security.

jupyter-notebook k-anonymity l-diversity python3 t-closeness

Last synced: 28 Apr 2025

https://github.com/glassonion1/anonypy

Anonymization library for python. Protect the privacy of individuals.

k-anonymity l-diversity mondrian pandas python python3 t-closeness

Last synced: 13 Apr 2025

https://github.com/strmprivacy/strm-privacy-diagnostics

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.

k-anonymity l-diversity nist privacy-enhancing-technologies privacy-tools t-closeness

Last synced: 23 Apr 2025

https://github.com/edyatl/passchek

Passchek is a simple cli tool, checks if your password has been compromised.

check cli compromise k-anonymity password pipeline pwnedpasswords security utility

Last synced: 28 Apr 2025

https://github.com/shuyib/data-privacy-pres

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.

data-ethics data-privacy-course differential-privacy federated-learning hacker-statistics k-anonymity machine-learning

Last synced: 22 Mar 2025

https://github.com/lekssays/networkflowanony

A Framework for Network Flows Anonymization using (k,l)-anonymization

anonymization graphs k-anon k-anonymity networkflow

Last synced: 25 Feb 2025

https://github.com/fionn/pwnchk

Transparently check if a password has been dumped in a breach

breaches k-anonymity password-hash pwned

Last synced: 02 Mar 2025

https://github.com/cristianzsh/passwordcheck

A simple tool to check if your password has been leaked.

k-anonymity leak password pwned pwned-passwords python python3 requests sha1

Last synced: 11 Mar 2025

https://github.com/lefteris-souflas/census-privacy-analysis

Exploring US Census microdata, tackling privacy issues, and anonymization. Exercise A delves into quasi-identifiers, anonymization methods, identification risks, and differential privacy. Exercise B involves data loading, k-anonymity, histograms, adding noise for privacy, computing private averages, and analyzing privacy parameter impacts.

data-anonymization differential-privacy encryption gaussian-mechanism gaussian-noise gdpr jupyter-notebook k-anonymity pseudonymization python3 quasi-identifiers

Last synced: 02 Mar 2025