ebagdasa / backdoor_federated_learningLinks
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
☆306Updated last year
Alternatives and similar repositories for backdoor_federated_learning
Users that are interested in backdoor_federated_learning are comparing it to the libraries listed below
Sorting:
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆198Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆105Updated 3 weeks ago
- Implementation of dp-based federated learning framework using PyTorch☆308Updated 2 years ago
- ☆174Updated 11 months ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆455Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆381Updated 7 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆304Updated 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
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆148Updated 7 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆50Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆131Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆95Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 5 months ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆197Updated 7 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆373Updated 2 years ago