xinjianluo / featureinference-vfl
☆24Updated 3 years ago
Alternatives and similar repositories for featureinference-vfl:
Users that are interested in featureinference-vfl are comparing it to the libraries listed below
- ☆38Updated 3 years ago
- ☆36Updated 3 years ago
- Backdoor detection in Federated learning with similarity measurement☆22Updated 2 years ago
- ☆18Updated last year
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆17Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆52Updated 2 months ago
- ☆25Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆35Updated last year
- ☆24Updated last year
- ☆13Updated 8 months ago
- Webank AI☆40Updated this week
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- 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 4 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆21Updated 8 months ago
- ☆68Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆82Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆38Updated last month
- ☆47Updated last year
- ☆31Updated 4 years ago
- ☆54Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated 4 months ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆24Updated last year
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆68Updated last year
- ☆12Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year