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
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- Differential private machine learning☆196Updated 3 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated last month
- 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
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆171Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆15Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- ☆20Updated last year
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆30Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 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
- 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
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- Repository for collection of research papers on privacy.☆342Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated last year
- An implementation of Deep Learning with Differential Privacy☆26Updated 2 years ago
- 关于2019和2018年的一些东西☆28Updated 6 years ago
- personal implementation of secure aggregation protocol☆47Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago