llgeek / K-anonymity-and-Differential-PrivacyLinks
Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
☆40Updated 6 years ago
Alternatives and similar repositories for K-anonymity-and-Differential-Privacy
Users that are interested in K-anonymity-and-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
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Sample LDP implementation in Python☆129Updated last year
- 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
- QGIS differential privacy processing plugin☆23Updated 9 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- ☆9Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differential private machine learning☆194Updated 3 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆120Updated 8 months ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- 使用tensorflow2.1实现联合学习推荐模型，并加入差分隐私噪声进行隐私保护。☆54Updated 2 years ago
- Compare Randomized Response and Laplace Mechanism☆9Updated 6 years ago
- GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions o…☆8Updated 3 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- ☆14Updated 4 months ago
- Anonymization methods for network security.☆158Updated 3 months ago