spring-epfl / MCSAuditing
Evaluation code for mobile crowdsourcing privacy (paper: On (The Lack Of) Location Privacy in Crowdsourcing Applications -- USENIX Security 2019)
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MCSAuditing
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆43Updated 7 years ago
- Protecting location privacy of workers and requesters in spatial crowdsourcing☆8Updated 6 years ago
- Location Privacy Protection System Based on K-Anonymous☆23Updated 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
- 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
- Useful tools for differential privacy☆214Updated 2 years ago
- 关于2019和2018年的一些东西☆29Updated 5 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆13Updated 2 years ago
- QGIS differential privacy processing plugin☆22Updated 8 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆21Updated 5 years ago
- Sample LDP implementation in Python☆116Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- De-anonymization algorithm of mobility trajectories☆30Updated 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- ☆11Updated 11 months ago
- Differential private machine learning☆179Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Profit Allocation for Federated Learning☆21Updated 4 years ago
- Location Privacy Preservation of Vehicle Data in Internet of Vehicles☆10Updated 2 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆44Updated 6 years ago