yangcao888 / ConTPLLinks
ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy
☆10Updated 7 years ago
Alternatives and similar repositories for ConTPL
Users that are interested in ConTPL are comparing it to the libraries listed below
Sorting:
- Quantifying Differential Privacy under Temporal Correlations☆12Updated 2 years ago
- Useful tools for differential privacy☆219Updated 3 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 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
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differential private machine learning☆199Updated 3 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 7 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆16Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆171Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆26Updated 10 months ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆31Updated last month
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 6 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 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
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Repository for collection of research papers on privacy.☆344Updated last year
- ☆35Updated 3 years ago
- Federated learning used to detect credit card fraud☆13Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- Paper notes and code for differentially private machine learning☆377Updated 4 months 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 4 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago