chatziko / libqif
Quantitative Information Flow library for python and C++.
☆16Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for libqif
- Differentially Private (tabular) Generative Models Papers with Code☆43Updated 4 months ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 4 years ago
- A library for running membership inference attacks against ML models☆137Updated last year
- Apple Differential Privacy Implementation☆16Updated 3 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 7 months ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆71Updated last year
- ☆38Updated 2 years ago
- ☆39Updated last year
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Differentially Private Conditional Generative Adversarial Network☆30Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆265Updated 11 months ago
- ☆43Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆129Updated last year
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆92Updated this week
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 4 years ago
- ☆10Updated last year
- Algorithms for Privacy-Preserving Machine Learning in JAX☆88Updated 4 months ago
- Github pages backend for https://differentialprivacy.org☆25Updated 5 months ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- ☆16Updated last year
- ☆31Updated last year
- ☆78Updated 2 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆68Updated 8 months ago
- A simple wrapper for the PATE analysis for Differential Privacy by Papernot, Song et al.☆9Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆16Updated 6 months ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆67Updated 5 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago