Data minimization, pseudonymization, and anonymization helpers for Go
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Updated
Dec 14, 2019 - Go
Data minimization, pseudonymization, and anonymization helpers for Go
BeeGen is an intelligent command-line tool designed to assist developers with everyday tasks, leveraging the power of generative AI.
The project is about Anonymousing data for mobile customer. This project is for showing how client's data should be secure and safe for data analyst
Data anonymization using Angular 2+
Induction to anonymization of data
Data anonymization signals for Tortoise ORM.
• Data Aggregation and Analysis • Data Anonymisation • Propose Data Analysis Approaches • Designing a Database
Hash data stored in Excel spreadsheet using pandas and Python's hashlib library
Secure, High-performance DICOM anonymization and metadata extraction for research and healthcare.
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.
CSV fuzzer/anonymizer
A simple data minimization and anonymization microservice wrapped around go-minimizer
A selected collection of my work samples
Extracting and analyzing user data stored by Facebook using Python and SQLIte
CAP LLM Plugin helps developers create tailored Generative AI based CAP applications by leveraging SAP HANA Cloud Data Anonymization and Vector Engine and SAP AI Core Services.
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
DPP - "Anonymizing Transaction Databases for Publication" - AA 2022/23
Distributed Anonymization Platform for SQL databases
📛 An experimental data anonymisation library
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