xujing1994 / bkd_fedgnnLinks
Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
☆23Updated 2 years ago
Alternatives and similar repositories for bkd_fedgnn
Users that are interested in bkd_fedgnn are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- ☆14Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated 2 years ago
- ☆26Updated last year
- ☆31Updated last year
- ☆18Updated 4 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- ☆52Updated 2 years ago
- ☆11Updated 9 months ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆35Updated 3 years ago
- ☆23Updated last year
- ☆33Updated last year
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- ☆10Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 6 months 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
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated 2 weeks ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆79Updated 3 years ago
- ☆39Updated last year
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆30Updated 4 months ago
- ☆38Updated 4 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆27Updated 2 weeks ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆20Updated last year
- ☆57Updated 2 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆95Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆65Updated 2 years ago