Analytic calibration for differential privacy with Gaussian perturbations
☆51Oct 7, 2018Updated 7 years ago
Alternatives and similar repositories for analytic-gaussian-mechanism
Users that are interested in analytic-gaussian-mechanism are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Dec 30, 2017Updated 8 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 5 years ago
- 建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性☆30Jan 31, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 5 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 7 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆114Updated this week
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Differential Privacy Testing System☆22Apr 24, 2020Updated 6 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆169Apr 24, 2026Updated 2 weeks ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆28Oct 3, 2022Updated 3 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated 2 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆31Dec 20, 2025Updated 4 months ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- A simple PyTorch implementations of `Badnets: Identifying vulnerabilities in the machine learning model supply chain` on MNIST and CIFAR1…☆11May 19, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- Samples of multi-class text classification with Differential Privacy Tensorflow 2.0☆11Feb 8, 2020Updated 6 years ago
- Sample LDP implementation in Python☆128Jul 26, 2023Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 years ago
- Diffprivlib: The IBM Differential Privacy Library☆911Sep 17, 2025Updated 7 months ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆64Jun 16, 2020Updated 5 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Mar 9, 2021Updated 5 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Nov 5, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆23Dec 9, 2022Updated 3 years ago
- ☆20Feb 2, 2024Updated 2 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24May 6, 2022Updated 4 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25May 30, 2019Updated 6 years ago
- Differential private machine learning☆200Feb 10, 2022Updated 4 years ago