Anonymize data using AES-128 encryption/decryption algorithm.
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Updated
May 5, 2021 - Python
Anonymize data using AES-128 encryption/decryption algorithm.
📛 An experimental data anonymisation library
Automated Privacy Engineering tool for the DACH region detecting German PII using NLP. (GDPR/DSGVO Compliant).
De-identify documents to prevent the risk of information leakage.
Ethical AI project for matching candidates with vacancies. Utilizes DistilBERT to provide fair and explainable recommendations. Developed as part of the Principles of Artificial Intelligence Technologies (PTIA) course at Escuela Colombiana de Ingeniería Julio Garavito.
🌱 anonymizePy helps you anonymize your data with ease
Anonymize your Pandas data. Preserve privacy.
Data anonymization signals for Tortoise ORM.
Lightweight PII redaction pipeline using Hugging Face NER + regex (Python) 96.5% accuracy
BeeGen is an intelligent command-line tool designed to assist developers with everyday tasks, leveraging the power of generative AI.
GenAI-SQL is a modular, extensible suite of AI-powered tools for automating SQL code improvement, documentation, and validation. Built for developers, analysts, and data engineers, it leverages Azure OpenAI (GPT-4o) to analyze, refactor, comment, explain, test, and audit SQL — all within a secure, asynchronous, and HIPAA-compliant framework.
A fully responsive, full stack web application with a working login system designed to demonstrate the benefits of password hashing, salting, and data anonymization.
M.Tech final year project to create a data anonymization tool.
anonymaCy is a spaCy extension for anonymizing PII using rule-based recognizers, context-aware processing, conflict resolution and customizable anonymization.
Implementation of An Efficient Clustering Method for k-Anonymization in Python 2.7
Data anonymization made easy
Data anonymization package, supporting different anonymization strategies
Secure, High-performance DICOM anonymization and metadata extraction for research and healthcare.
This script generates various types of fake data, such as names, addresses, phone numbers, coordinates, and more, using the Faker library. Users can select the data type and the quantity to generate. The generated data is saved to a JSON file
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