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 5 years ago
Alternatives and similar repositories for DPTrajExperiments
Users that are interested in DPTrajExperiments are comparing it to the libraries listed below
Sorting:
- Useful tools for differential privacy☆217Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Sample LDP implementation in Python☆129Updated last year
- 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
- Paper notes and code for differentially private machine learning☆356Updated 7 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Differential private machine learning☆195Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆164Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆122Updated 9 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 5 years ago
- ☆35Updated 2 years ago
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Local Differential Privacy for Federated Learning☆17Updated 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 last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 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
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆39Updated last year
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 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 6 years ago