spring-epfl / MCSAuditing
Evaluation code for mobile crowdsourcing privacy (paper: On (The Lack Of) Location Privacy in Crowdsourcing Applications -- USENIX Security 2019)
☆18Updated 4 years ago
Alternatives and similar repositories for MCSAuditing:
Users that are interested in MCSAuditing are comparing it to the libraries listed below
- Protecting location privacy of workers and requesters in spatial crowdsourcing☆8Updated 6 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆43Updated 8 years ago
- Location Privacy Protection System Based on K-Anonymous☆24Updated 7 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 4 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆16Updated 4 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆15Updated 2 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
- Utility-aware synthesis of differentially private and attack-resilient location traces☆23Updated 6 years ago
- QGIS differential privacy processing plugin☆22Updated 8 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- De-anonymization algorithm of mobility trajectories☆30Updated 6 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- ☆14Updated last year
- Python implementation of differential privacy using Laplace mechanism☆10Updated 2 years ago
- Useful tools for differential privacy☆214Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Sample LDP implementation in Python☆120Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Profit Allocation for Federated Learning☆21Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- 关于2019和2018年的一些东西☆28Updated 5 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆28Updated 4 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.☆73Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- ☆17Updated 8 months ago
- Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.☆21Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 6 years ago