Zhangzhk0819 / GNN-Embedding-LeaksLinks
☆28Updated 2 years ago
Alternatives and similar repositories for GNN-Embedding-Leaks
Users that are interested in GNN-Embedding-Leaks are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- ☆32Updated 3 years 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
- ☆14Updated 4 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated 2 weeks ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆40Updated 3 years ago
- ☆11Updated 9 months ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆58Updated last year
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆23Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- This is a python script to generate nice bibtex file for latex.☆16Updated 5 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆70Updated last year
- Code for ML Doctor☆91Updated 11 months ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆52Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- ☆33Updated last year
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆10Updated last year
- ☆25Updated 10 months ago
- ☆17Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- ☆66Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- ☆70Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆15Updated 5 months ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆18Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bail…☆18Updated 2 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆57Updated 7 months ago