ruclty / DaisyLinks
☆19Updated last year
Alternatives and similar repositories for Daisy
Users that are interested in Daisy are comparing it to the libraries listed below
Sorting:
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 4 months ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Updated last year
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- A tree-based federated learning system (MLSys 2023)☆150Updated 9 months ago
- ☆42Updated last year
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Feature partitioner by imbalance or correlation (ICLR 2024)☆17Updated 9 months ago
- ☆32Updated 3 years ago
- the source code of the COOL system☆47Updated 7 months ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- ☆14Updated 4 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 4 years ago
- A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.☆24Updated 2 months ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- ☆30Updated 4 years ago
- A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recomme…☆79Updated 2 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- ☆47Updated last year
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 4 years ago
- A library for running membership inference attacks against ML models☆151Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆53Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- ☆16Updated 6 years ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆183Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- ☆11Updated 10 months ago
- ☆24Updated 6 years ago