ventr1c / UGBALinks
An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
☆58Updated last year
Alternatives and similar repositories for UGBA
Users that are interested in UGBA are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆39Updated 3 years ago
- ☆56Updated 2 years ago
- An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)☆12Updated 8 months ago
- ☆17Updated 3 years ago
- ☆33Updated last year
- 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…☆23Updated 2 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆23Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated 2 years ago
- ☆11Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆48Updated last year
- ☆28Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 3 years ago
- ☆32Updated 3 years ago
- ☆14Updated 4 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆25Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- ☆25Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆42Updated 2 years ago
- [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
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 7 months ago
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Updated last year
- The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)☆18Updated 4 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Updated 3 years ago
- Membership Inference Attack against Graph Neural Networks☆12Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆19Updated 3 years ago