sisaman / LPGNNLinks
Locally Private Graph Neural Networks (ACM CCS 2021)
☆49Updated 3 months ago
Alternatives and similar repositories for LPGNN
Users that are interested in LPGNN are comparing it to the libraries listed below
Sorting:
- [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
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- ☆14Updated 4 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- ☆28Updated 2 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆82Updated 3 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- ☆58Updated 3 years ago
- ☆32Updated 3 years ago
- ☆11Updated 2 years ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆19Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆53Updated 2 months ago
- ☆16Updated 4 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 3 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆20Updated 5 years ago
- ☆10Updated 3 years ago
- code of FedGNN☆92Updated 3 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆181Updated last year
- ☆18Updated 4 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆29Updated 3 years ago
- Profit Allocation for Federated Learning☆23Updated 5 years ago
- ☆24Updated 4 years ago
- ☆16Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- ☆37Updated 3 years ago
- ☆46Updated last year
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago