Privacy-Graph / PrivGraph
Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
☆8Updated last year
Related projects: ⓘ
- ☆18Updated 7 months ago
- Sample LDP implementation in Python☆113Updated last year
- ☆11Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 3 years ago
- Useful tools for differential privacy☆213Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆21Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆148Updated last year
- PyTorch implementation of a number of mechanisms in local differential privacy☆13Updated 2 years ago
- ☆10Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆16Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆46Updated 6 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- ☆14Updated 3 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆71Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆19Updated 3 months ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 6 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Differential private machine learning☆177Updated 2 years ago
- Implementations of differentially private release mechanisms for graph statistics☆17Updated 2 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 4 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆41Updated 7 years ago
- A framework for protecting worker location privacy in spatial crowdsourcing☆14Updated 8 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 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆131Updated 3 years ago
- An implementation of Deep Learning with Differential Privacy☆23Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆42Updated 11 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆98Updated 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。☆46Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆55Updated 2 years ago