Data Privacy and Trustworthy Machine Learning Research Lab

ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

location_privacy_meter

Location Privacy Meter: A tool to model human mobility and quantify location privacy

datasets

Processed datasets that we have used in our research

bias_in_FL

This is the code repository for the paper titled "Bias Propagation in Federated Learning" which was accepted to the International Conference on Learning Representations (ICLR) 2023.

adversarial_bias

Analyzing Adversarial Bias and the Robustness of Fair Machine Learning

soteria_private_nn_inference

lood_in_ml

Data-Order-Randomness-versus-Group-Fairness