blingcho / VFLIP-esorics24Links
☆15Updated last year
Alternatives and similar repositories for VFLIP-esorics24
Users that are interested in VFLIP-esorics24 are comparing it to the libraries listed below
Sorting:
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- [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
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆26Updated last year
- ☆70Updated 3 years ago
- ☆11Updated 9 months ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆22Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated 2 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
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- ☆14Updated last year
- Adversarial attacks and defenses against federated learning.☆18Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- ☆38Updated 4 years ago
- ☆31Updated last year
- ☆23Updated last year
- ☆19Updated 2 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Updated last year
- Code for ML Doctor☆91Updated 11 months ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆26Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆39Updated 9 months 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
- Multi-metrics adaptively identifies backdoors in Federated learning☆28Updated 2 weeks ago
- ☆25Updated 4 years ago