uscensusbureau / DAS_2020_Redistricting_Production_CodeLinks
Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual information based on published statistical summaries.
☆22Updated 3 years ago
Alternatives and similar repositories for DAS_2020_Redistricting_Production_Code
Users that are interested in DAS_2020_Redistricting_Production_Code are comparing it to the libraries listed below
Sorting:
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆22Updated 10 months ago
- ☆18Updated 3 years ago
- ☆38Updated 3 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Updated 8 months ago
- ☆31Updated 2 years ago
- ☆13Updated last month
- ☆34Updated 4 years ago
- Cerebro: A platform for Secure Coopetitive Learning☆21Updated 3 years ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆41Updated last year
- ☆23Updated last year
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆60Updated 5 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆367Updated this week
- ☆10Updated last year
- Github pages backend for https://differentialprivacy.org☆26Updated last month
- Code for fast dpsgd implementations in JAX/TF☆59Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 4 years ago
- Tools and service for differentially private processing of tabular and relational data☆269Updated 5 months ago
- QGIS differential privacy processing plugin☆23Updated 9 years ago
- Differentially private synthetic data☆46Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆121Updated last month
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 6 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- A challenge to investigate the security of the InstaHide protocol.☆12Updated 4 years ago
- ☆80Updated 3 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆48Updated last year