Alternatives and similar repositories for GNN-Embedding-Leaks

Users that are interested in GNN-Embedding-Leaks are comparing it to the libraries listed below

• xinleihe / GNNStealing
  ☆32Updated 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 4 years ago
• zhaohan-xi / GraphBackdoor
  ☆58Updated 3 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated 5 months ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆44Updated 4 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆61Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• TrustworthyGNN / MIA-GNN
  Membership Inference Attack against Graph Neural Networks
  ☆12Updated 3 years ago
• scottshufe / Property-Inference-Attacks-Literature
  ☆12Updated last year
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• iyempissy / rebMIGraph
  ☆16Updated 4 years ago
• DmsKinson / DPMLBench
  This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
  ☆11Updated 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
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• zhangrui4041 / Instruction_Backdoor_Attack
  ☆26Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆53Updated 4 months ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆19Updated 5 years ago
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆60Updated 11 months ago
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆40Updated 2 years ago
• OscarcarLi / label-protection
  Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).
  ☆22Updated 3 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• qzzqzzb / A3FL
  ☆30Updated 2 years ago