blingcho / VFLIP-esorics24
☆14Updated 8 months ago
Alternatives and similar repositories for VFLIP-esorics24:
Users that are interested in VFLIP-esorics24 are comparing it to the libraries listed below
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆17Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆21Updated 9 months ago
- ☆25Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆53Updated 3 months ago
- ☆69Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆31Updated 5 months ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆38Updated 2 months ago
- Adversarial attacks and defenses against federated learning.☆15Updated last year
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆12Updated 8 months ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆37Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆13Updated 9 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆31Updated 2 years ago
- ☆25Updated 3 years ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆21Updated last year
- ☆38Updated 3 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆35Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆24Updated last year
- ☆54Updated 2 years ago
- ☆48Updated last year
- ☆26Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆70Updated last year
- ☆18Updated 2 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆10Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆47Updated 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 4 years ago
- Membership inference against Federated learning.☆9Updated 3 years ago