LDP-Toolbox
Python package and interactive dashboard for analyzing, comparing, and visualizing Local Differential Privacy protocols and their utility, privacy, and attackability trade-offs.
Software & Datasets
Selected open-source libraries and datasets associated with my work on privacy-preserving and responsible machine learning.
Libraries & Tools
Multi-Freq-LDPy
Python library for one-time, multidimensional, longitudinal, and multidimensional-longitudinal frequency estimation under Local Differential Privacy.
BenchmarkDPFair
Reproducible Python framework for benchmarking fairness-aware learning mechanisms on differentially private synthetic tabular data.
Datasets
MS-FIMU
Open longitudinal synthetic mobility dataset generated from an anonymized call-detail-record setting for privacy and mobility research.
Multivariate-Mobility-Paris
Anonymized and aggregated multivariate human-mobility time series from Paris, suitable for forecasting and privacy-preserving learning experiments.