ventr1c / UGBA
An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
☆57Updated last year
Alternatives and similar repositories for UGBA:
Users that are interested in UGBA are comparing it to the libraries listed below
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆38Updated 3 years ago
- ☆55Updated 2 years ago
- An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)☆11Updated 7 months ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆23Updated last year
- ☆33Updated last year
- ☆16Updated 3 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆47Updated 2 years ago
- Implementation of XGBD: Explanation-Guided Backdoor Detection on Graphs☆10Updated 2 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
- ☆11Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆47Updated last year
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 3 years ago
- ☆25Updated 4 months ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆74Updated 3 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆42Updated last year
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- ☆32Updated 3 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- ☆28Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- ☆14Updated 4 years ago
- ☆24Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆48Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Updated 3 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆62Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 6 months ago
- Paper List for Fair Graph Learning (FairGL).☆136Updated 7 months ago
- Official Code for FedGCN [NeurIPS 2023]☆65Updated 3 months ago