anusii / graph-dp
Implementations of differentially private release mechanisms for graph statistics
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for graph-dp
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆44Updated last year
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆21Updated 3 years ago
- ☆14Updated 3 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- ☆10Updated 2 years ago
- ☆12Updated 2 years ago
- ☆18Updated 9 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆44Updated 6 years ago
- ☆13Updated last year
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- ☆31Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆101Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆38Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆13Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆129Updated last year
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆9Updated last year
- ☆14Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆31Updated 3 years ago
- ☆26Updated last year
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆22Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 6 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago