chatziko / libqifLinks
Quantitative Information Flow library for python and C++.
☆16Updated 11 months ago
Alternatives and similar repositories for libqif
Users that are interested in libqif are comparing it to the libraries listed below
Sorting:
- ☆36Updated last year
- Differentially Private (tabular) Generative Models Papers with Code☆52Updated last year
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- ☆43Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆104Updated this week
- list of differential-privacy related resources☆313Updated 7 months ago
- ☆39Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Apple Differential Privacy Implementation☆16Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Tools and service for differentially private processing of tabular and relational data☆276Updated this week
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆192Updated 7 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 5 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆670Updated 3 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago