yangcao888 / TPL
Quantifying Differential Privacy under Temporal Correlations
☆12Updated last year
Alternatives and similar repositories for TPL:
Users that are interested in TPL are comparing it to the libraries listed below
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 6 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 4 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆45Updated 8 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆47Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Sample LDP implementation in Python☆125Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 years ago
- Useful tools for differential privacy☆215Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differential private machine learning☆191Updated 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 5 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- ☆14Updated last month
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- ☆33Updated 2 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years ago