llgeek / K-anonymity-and-Differential-Privacy
Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
☆37Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for K-anonymity-and-Differential-Privacy
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆71Updated last year
- Useful tools for differential privacy☆214Updated 2 years ago
- Sample LDP implementation in Python☆116Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- ☆12Updated 2 years ago
- GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions o…☆8Updated 2 years ago
- Differential private machine learning☆179Updated 2 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
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 6 years ago
- Compare Randomized Response and Laplace Mechanism☆9Updated 6 years ago
- ☆18Updated last year
- QGIS differential privacy processing plugin