Alternatives and similar repositories for rebMIGraph:

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

• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆47Updated last year
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆57Updated last year
• 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…
  ☆22Updated last year
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆38Updated 3 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
• zhaohan-xi / GraphBackdoor
  ☆55Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆47Updated 2 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆46Updated last year
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated last year
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆23Updated 2 years ago
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 3 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆42Updated last year
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆19Updated 4 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆23Updated 3 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆75Updated 3 years ago
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• wujcan / GIF-torch
  ☆24Updated 2 years ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆48Updated last year
• scottshufe / Property-Inference-Attacks-Literature
  ☆11Updated 7 months ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆62Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆47Updated 2 years ago
• vasishtduddu / GraphLeaks
  Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
  ☆15Updated 3 years ago
• BUPT-GAMMA / LafAK
  The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)
  ☆18Updated 4 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆65Updated 3 months ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆11Updated 7 months ago
• ispamm / FairDrop
  ☆14Updated 3 years ago