imcjp / DPTrajExperimentsLinks
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
Alternatives and similar repositories for DPTrajExperiments
Users that are interested in DPTrajExperiments are comparing it to the libraries listed below
Sorting:
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- Useful tools for differential privacy☆217Updated 3 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Updated 2 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☆28Updated 4 years ago
- Differential private machine learning☆195Updated 3 years ago
- Paper notes and code for differentially private machine learning☆359Updated last month
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated last year
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆46Updated 8 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 7 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- ☆21Updated 2 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
- Implementation of dp-based federated learning framework using PyTorch☆308Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- ☆35Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆71Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year