Repository for the paper "ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators".

LLM fine-tuning on the PPMI dataset

A lightweight Python library for anonymizing tabular data, offering a collection of techniques such as masking, mocking, perturbation, and more.

Code for the paper 'Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets'