inspire-group / MVG-Mechansim
A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.
☆19Updated 4 years ago
Alternatives and similar repositories for MVG-Mechansim:
Users that are interested in MVG-Mechansim are comparing it to the libraries listed below
- Code for NIPS'2017 paper☆50Updated 4 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- Differential private machine learning☆191Updated 3 years ago
- ☆43Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 4 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆47Updated last year
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated 11 months ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 11 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆43Updated 3 years ago
- ☆10Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- Implementation of local differential privacy mechanisms in Python language.☆28Updated 2 years ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆101Updated this week
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆60Updated 4 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated 5 months ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- QGIS differential privacy processing plugin☆22Updated 9 years ago