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)
  ☆40Updated 3 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆59Updated last year
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated last month
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆24Updated 2 years ago
• 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
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated last month
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• TrustworthyGNN / MIA-GNN
  Membership Inference Attack against Graph Neural Networks
  ☆12Updated 2 years ago
• scottshufe / Property-Inference-Attacks-Literature
  ☆11Updated 11 months ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆16Updated 3 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated 11 months ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 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
• KaiyuanZh / OrthogLinearBackdoor
  [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆27Updated 4 months ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆37Updated last year
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆82Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• hyhmia / BlindMI
  ☆22Updated 3 years ago
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆30Updated 3 years ago
• lvpeizhuo / Data-free_Backdoor
  This is the source code for Data-free Backdoor. Our paper is accepted by the 32nd USENIX Security Symposium (USENIX Security 2023).
  ☆31Updated last year
• jinyuan-jia / BadEncoder
  ☆82Updated 4 years ago
• HaFaZhang / A3FL
  ☆27Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 3 years ago
• minxingzhang / MIARS
  Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
  ☆19Updated 10 months ago