TrustworthyGNN / MIA-GNNLinks
Membership Inference Attack against Graph Neural Networks
☆12Updated 2 years ago
Alternatives and similar repositories for MIA-GNN
Users that are interested in MIA-GNN are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- ☆32Updated 3 years ago
- ☆28Updated 2 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Code for ML Doctor☆91Updated last year
- ☆11Updated 11 months ago
- [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
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated last month
- ☆22Updated 3 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- ☆70Updated 3 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆82Updated 2 years ago
- ☆14Updated 4 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated last month
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 7 months ago
- ☆17Updated 3 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24Updated 2 years ago
- ☆25Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆40Updated 3 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆59Updated last year
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆18Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- Code and full version of the paper "Hijacking Attacks against Neural Network by Analyzing Training Data"☆13Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 8 months ago
- ☆66Updated 4 years ago
- ☆45Updated 5 years ago