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:
- Useful tools for differential privacy☆219Updated 3 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
- QGIS differential privacy processing plugin☆23Updated 9 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated 2 months ago
- Differential private machine learning☆199Updated 3 years ago
- Repository for collection of research papers on privacy.☆344Updated last year
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆170Updated 3 years ago
- list of differential-privacy related resources☆324Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 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
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆378Updated 4 months ago
- ☆45Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆31Updated last month
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 7 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- 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☆29Updated 5 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆91Updated 6 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Updated 5 months ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆16Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆312Updated last year
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago