haonan3 / Secure-Network-Release-with-Link-Privacy
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Secure-Network-Release-with-Link-Privacy
- 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
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆44Updated last year
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 2 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated 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
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆38Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆33Updated 3 years ago
- ☆14Updated 3 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆44Updated 2 years ago
- ☆13Updated 2 years ago
- ☆14Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆25Updated 2 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆44Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated last year
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆21Updated last year
- ☆12Updated last year
- ☆52Updated 2 years ago
- ☆21Updated 2 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆13Updated 8 months ago
- Code for paper https://arxiv.org/abs/2102.13186☆39Updated 3 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆10Updated last year
- Official code for the INFOCOM 2020 paper "Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks."☆9Updated 3 years ago
- Official Code for FedGCN [NeurIPS 2023]☆59Updated 6 months ago
- ☆25Updated last week