zhaohan-xi / GraphBackdoorLinks
☆57Updated 2 years ago
Alternatives and similar repositories for GraphBackdoor
Users that are interested in GraphBackdoor 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
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆58Updated last year
- ☆27Updated 2 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆23Updated 2 years ago
- ☆33Updated last year
- An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)☆12Updated 9 months ago
- ☆14Updated 4 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated 2 years ago
- ☆32Updated 3 years ago
- ☆17Updated 3 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
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated last year
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated last year
- Implementation of XGBD: Explanation-Guided Backdoor Detection on Graphs☆10Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- ☆11Updated 2 years ago
- ☆11Updated 9 months ago
- ☆25Updated 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 Adversarial Privacy Graph Embedding in TensorFlow☆20Updated 5 years ago
- [NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)☆13Updated 3 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆19Updated 3 years ago
- This is the source code for MEA-Defender. Our paper is accepted by the IEEE Symposium on Security and Privacy (S&P) 2024.☆23Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆42Updated 2 years ago
- Model Poisoning Attack to Federated Recommendation☆30Updated 3 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Updated 3 years ago
- The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.☆19Updated 2 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- Implementation of paper "Explanability-based backdoor attacks against graph neural networks"☆11Updated 2 years ago