Alternatives and similar repositories for GraphBackdoor

Users that are interested in GraphBackdoor are comparing it to the libraries listed below

• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆39Updated 3 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆58Updated last year
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated 8 months ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated last year
• AI-secure / LinkTeller
  [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
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆23Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated 2 years ago
• NDS-VU / awesome-gnn-privacy
  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
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆48Updated last year
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated last year
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• GuanZihan / GNN_backdoor_detection
  Implementation of XGBD: Explanation-Guided Backdoor Detection on Graphs
  ☆10Updated 2 years ago
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• scottshufe / Property-Inference-Attacks-Literature
  ☆11Updated 8 months ago
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆30Updated 3 years ago
• THUDM / tdgia
  code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
  ☆19Updated 3 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆42Updated last year
• minxingzhang / MIARS
  Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
  ☆18Updated 7 months ago
• KaiyuanZh / OrthogLinearBackdoor
  [IEEE S&P 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆25Updated last month
• lvpeizhuo / MEA-Defender
  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
• xingchenwan / grabnel
  [NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)
  ☆13Updated 3 years ago
• zhangrui4041 / Instruction_Backdoor_Attack
  ☆23Updated 9 months ago
• HaFaZhang / A3FL
  ☆27Updated last year
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 4 years ago