BorjaBalle / analytic-gaussian-mechanismView external linksLinks
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
Sorting:
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Dec 30, 2017Updated 8 years ago
- ☆17Mar 30, 2023Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 4 years ago
- ☆38Jun 21, 2022Updated 3 years ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 2 years ago
- Samples of multi-class text classification with Differential Privacy Tensorflow 2.0☆11Feb 8, 2020Updated 6 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆110Updated this week
- 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☆29Jan 31, 2021Updated 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 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆151Updated this week
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Nov 28, 2022Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Dec 8, 2022Updated 3 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12May 13, 2023Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆139Jan 22, 2026Updated 3 weeks ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated last year
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Feb 13, 2020Updated 6 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Dec 5, 2017Updated 8 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆63Jun 16, 2020Updated 5 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- Sample LDP implementation in Python☆128Jul 26, 2023Updated 2 years ago
- ☆15Jan 16, 2024Updated 2 years ago
- Denoising Diffusion Error Correction Codes☆20Apr 12, 2024Updated last year
- Differential Privacy Testing System☆22Apr 24, 2020Updated 5 years ago
- ☆15Jun 5, 2023Updated 2 years ago
- ☆19Jun 15, 2022Updated 3 years ago
- ☆23Dec 9, 2022Updated 3 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 5 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- ☆19Mar 6, 2023Updated 2 years ago
- ☆25Apr 15, 2024Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Jan 20, 2019Updated 7 years ago
- ☆25Aug 18, 2023Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 4 years ago