Alternatives and similar repositories for GraphBackdoor

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

• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆60Updated last year
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 4 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated last month
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆24Updated 2 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated 2 months ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated 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 4 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
• iyempissy / rebMIGraph
  ☆16Updated 3 years ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated last year
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• KaiyuanZh / OrthogLinearBackdoor
  [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆26Updated 5 months ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆82Updated 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
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆82Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆90Updated last year
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆44Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• wujcan / GIF-torch
  ☆26Updated 2 years ago
• yflyl613 / FedRec
  [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…
  ☆23Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago