☆17Oct 11, 2021Updated 4 years ago
Alternatives and similar repositories for rebMIGraph
Users that are interested in rebMIGraph are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆29May 8, 2023Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Jul 3, 2023Updated 2 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆18Nov 11, 2021Updated 4 years ago
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆23Apr 5, 2024Updated last year
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆20Feb 29, 2024Updated 2 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23May 25, 2023Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 4 years ago
- General Strategy for Unlearning in Graph Neural Networks☆47Feb 20, 2023Updated 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, …☆23Sep 7, 2021Updated 4 years ago
- PyTorch pipeline for Kaggle Jigsaw Toxic Comment Classification Challenge☆11Mar 23, 2018Updated 8 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 years ago
- ☆12Sep 17, 2019Updated 6 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆44Sep 18, 2021Updated 4 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- ☆20Oct 28, 2025Updated 4 months ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Jul 2, 2025Updated 8 months ago
- ☆10Oct 25, 2024Updated last year
- ☆12Apr 3, 2024Updated last year
- ☆10Feb 13, 2021Updated 5 years ago
- ☆13Oct 8, 2021Updated 4 years ago
- A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).☆13Nov 4, 2021Updated 4 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Feb 17, 2023Updated 3 years ago
- 杭电操作系统实验五《简单文件管理系统》☆11Dec 3, 2019Updated 6 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- The pytorch implementation of the SAFE model presented in NAACL-Findings-2022☆17Mar 10, 2023Updated 3 years ago
- Official code for SPE☆17Sep 15, 2024Updated last year
- ☆10Dec 30, 2021Updated 4 years ago
- ☆24Aug 18, 2023Updated 2 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆14Sep 12, 2023Updated 2 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Jul 5, 2022Updated 3 years ago
- ☆11Dec 18, 2024Updated last year
- ☆13Apr 12, 2022Updated 3 years ago
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆52Jul 1, 2025Updated 8 months ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆61Dec 3, 2023Updated 2 years ago
- ☆11Oct 2, 2024Updated last year
- ☆57Oct 5, 2022Updated 3 years ago
- ☆12Sep 26, 2024Updated last year