KaiyangLi1992 / Privacy-Preserving-Social-Network-EmbeddingLinks
Implementation of Adversarial Privacy Graph Embedding in TensorFlow
☆20Updated 5 years ago
Alternatives and similar repositories for Privacy-Preserving-Social-Network-Embedding
Users that are interested in Privacy-Preserving-Social-Network-Embedding are comparing it to the libraries listed below
Sorting:
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- ☆14Updated 4 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated last month
- [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
- ☆10Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆40Updated 3 years ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆182Updated last year
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆81Updated 3 years ago
- walk2friends: Inferring Social Links from Mobility Profiles☆22Updated 7 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated last month
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆150Updated 3 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆59Updated last year
- ☆17Updated 3 years ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆344Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 3 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- ☆57Updated 2 years ago
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 10 months ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆67Updated 2 years ago
- ☆14Updated 3 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20Updated 2 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆140Updated 11 months ago
- My future research☆415Updated 2 years ago