Alternatives and similar repositories for LPGNN

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

• 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
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated last year
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆77Updated 3 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 5 years ago
• zhxchd / Blink_GNN
  Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"
  ☆14Updated last year
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆27Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• zhaohan-xi / GraphBackdoor
  ☆57Updated 2 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
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆42Updated 2 years ago
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 4 years ago
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆13Updated 2 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated 2 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆69Updated 5 months ago
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆30Updated 3 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• minxingzhang / MIARS
  Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
  ☆19Updated 8 months ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆63Updated 5 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆39Updated 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
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆62Updated 8 months ago
• xinjianluo / featureinference-vfl
  ☆25Updated 3 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆64Updated 2 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• congxie1108 / icml2019_zeno
  ☆16Updated 6 years ago