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:
- Sample LDP implementation in Python☆129Updated 2 years ago
- Useful tools for differential privacy☆218Updated 3 years ago
- QGIS differential privacy processing plugin☆23Updated 9 years ago
- Differential private machine learning☆195Updated 3 years ago
- Repository for collection of research papers on privacy.☆343Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆77Updated 2 years ago
- ☆45Updated 4 years ago
- list of differential-privacy related resources☆317Updated 9 months 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☆51Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆169Updated 2 years ago
- Implementation of "Reading in the Dark: Classifying Encrypted Digits with Functional Encryption"☆21Updated 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 6 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆130Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆89Updated 6 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
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 5 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 7 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 7 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago