LapisIT / differential_privacyLinks
QGIS differential privacy processing plugin
☆22Updated 9 years ago
Alternatives and similar repositories for differential_privacy
Users that are interested in differential_privacy are comparing it to the libraries listed below
Sorting:
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Sample LDP implementation in Python☆127Updated last year
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆46Updated 8 years ago
- ☆43Updated 3 years ago
- A framework for protecting worker location privacy in spatial crowdsourcing☆15Updated 9 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆48Updated last year
- ☆14Updated 3 months ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Differential private machine learning☆193Updated 3 years ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- 本项目实现自《差分隐私下满足一致性的轨迹流量发布方法》，作者蔡剑平☆12Updated 5 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆60Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Updated last year
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 6 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 2 years ago