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, …
  ☆22Updated 3 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 3 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆21Updated 2 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆45Updated last year
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆43Updated last year
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆19Updated 4 years ago
• zhaohan-xi / GraphBackdoor
  ☆53Updated 2 years ago
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆22Updated last year
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆27Updated last year
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆74Updated 3 years ago
• iyempissy / rebMIGraph
  ☆16Updated 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 last year
• FedML-AI / FedGraphNN
  FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…
  ☆180Updated last year
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 3 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆41Updated last year
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆12Updated last year
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆58Updated 4 months ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆61Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆37Updated 3 years ago
• moranant / attacking_distributed_learning
  An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)
  ☆26Updated last year
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆62Updated last month
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆62Updated 4 years ago
• minxingzhang / MIARS
  Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
  ☆17Updated 4 months ago
• usail-hkust / BkdFedGCN
  ☆31Updated last year
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• sisaman / LDP-mechanisms
  PyTorch implementation of a number of mechanisms in local differential privacy
  ☆16Updated 3 years ago
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated 10 months ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago