xujing1994 / Explanability_bkd_gnn
Implementation of paper "Explanability-based backdoor attacks against graph neural networks"
☆11Updated 2 years ago
Alternatives and similar repositories for Explanability_bkd_gnn:
Users that are interested in Explanability_bkd_gnn are comparing it to the libraries listed below
- ☆55Updated 2 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆38Updated 3 years ago
- Implementation of XGBD: Explanation-Guided Backdoor Detection on Graphs☆10Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆57Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Updated 3 years ago
- ☆32Updated 3 years ago
- Adversarial training for Graph Neural Networks☆60Updated 4 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- Adversarial attacks and defenses on Graph Neural Networks.☆380Updated last year
- A curated collection of adversarial attack and defense on graph data.☆565Updated last year
- ☆16Updated 3 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆128Updated 2 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆94Updated last year
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆19Updated 3 years ago
- An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)☆11Updated 7 months ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆147Updated 3 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆23Updated last year
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆47Updated last year
- [NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)☆13Updated 3 years ago
- ☆14Updated 4 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
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆47Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 6 months ago
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Updated last year
- Paper List for Fair Graph Learning (FairGL).☆136Updated 7 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆295Updated last year
- Parameterized Explainer for Graph Neural Network☆132Updated last year
- ☆52Updated last year