Software & Datasets

Open-Source Libraries

• ldp-toolbox [GitHub] [PyPI] [CCS 2025] [arXiv]
  LDP-Toolbox is an interactive Python-based benchmarking and visualization platform for exploring the trade-offs between privacy loss (ε), utility, and attackability in local differential privacy (LDP). It provides analytical and empirical evaluations of standard LDP protocols, supports real-world datasets, and features dashboards for protocol comparison, parameter tuning, and reconstruction attack analysis.

• multi-freq-ldpy [GitHub] [PyPI] [ESORICS 2022] [arXiv]
  Multi-Freq-LDPy is a Python library for performing multiple frequency estimation tasks (multidimensional, longitudinal, and both) under local differential privacy (LDP) guarantees. Multi-Freq-LDPy features various state-of-the-art LDP algorithms such as k-RR, SS, OUE, OLH, RS+FD, Google’s RAPPOR, and Microsoft’s dBitFlipPM. The package is distributed under MIT license.

Datasets

• MS-FIMU (Mobility Scenario FIMU) [GitHub] [IWCMC 2020]
  An open, longitudinal (7 days), multidimensional (7 attributes), and synthetic dataset of faked virtual humans generated by an optimization approach applied to a real-life call-detail-records-based anonymized database.
  This dataset can be used for ML classification tasks and for evaluating (locally) differentially private mechanisms on multidimensional and/or longitudinal data.

• Multivariate-Mobility-Paris [GitHub] [NCAA Journal] [arXiv]
  The original dataset was provided by Orange telecom in France, which contains anonymized and aggregated human mobility data. The Multivariate-Mobility-Paris dataset comprises information from 2020-08-24 to 2020-11-04 (72 days during the COVID-19 pandemic), with time granularity of 30 minutes and spatial granularity of 6 coarse regions in Paris, France. In other words, it represents a multivariate time series dataset. This dataset can be used for several time-series tasks such as univariate/multivariate forecasting/classification with classic, machine learning, and privacy-preserving machine learning techniques.

Selected Open-Source Code from Papers

• LDP-Auditor [GitHub] [PETS 2024] [arXiv]
  Python implementation of LDP-Auditor for empirically estimating ε-LDP guarantees.

• LOLOHA [GitHub] [EDBT 2023] [arXiv]
  Python implementation of longitudinal LDP protocols (RAPPOR, dBitFlipPM) and our local hashing-based protocols for frequency estimation longitudinally (i.e., throughout time).

• Risks LDP [GitHub] [VLDB 2023] [arXiv]
  Python implementation of re-identification and attribute inference attacks to LDP protocols for multidimensional data.

• RS+FD [GitHub] [CIKM 2021] [arXiv]
  Python implementation of our Random Sampling Plus Fake Data (RS+FD) algorithms for frequency estimation of multiple attributes under LDP.

• Longitudinal LDP [GitHub] [DCAN Journal] [arXiv]
  Python implementation of our longitudinal LDP protocols (L-GRR and L-UE) for frequency estimation a single time (i.e., with ε1-LDP).

• Geo-Indistinguishability [GitHub] [MCA Journal]
  Python implementation of the planar Laplace mechanism that satisfy Geo-Indistinguishability.