NDS-VU / awesome-gnn-privacyLinks
This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).
☆23Updated 2 years ago
Alternatives and similar repositories for awesome-gnn-privacy
Users that are interested in awesome-gnn-privacy are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆40Updated 3 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆58Updated last year
- ☆33Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆79Updated 3 years ago
- My future research☆410Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆43Updated 2 years ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆342Updated last year
- ☆27Updated 7 months ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated 2 weeks ago
- ☆17Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- ☆14Updated 4 years ago
- Paper List for Fair Graph Learning (FairGL).☆140Updated 9 months ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆181Updated last year
- ☆10Updated 3 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Updated last year
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆15Updated last year
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 3 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆20Updated 5 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆70Updated 2 years ago
- ☆57Updated 2 years ago
- ☆25Updated 2 years ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆11Updated last year
- Data repository for PyGOD☆43Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- ☆14Updated 3 years ago