基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
☆65May 22, 2020Updated 5 years ago
Alternatives and similar repositories for attacking_federate_learning
Users that are interested in attacking_federate_learning are comparing it to the libraries listed below
Sorting:
- ☆38Apr 9, 2021Updated 4 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆29Jun 29, 2023Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- Byzantine-resilient distributed SGD with TensorFlow.☆40Jan 22, 2021Updated 5 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- ☆16May 10, 2019Updated 6 years ago
- 自己的个人毕设,联邦学习相关,主要是多方安全计算中秘密分享的一种算法实现,以完成不需要第三方的安全隐私传输。(An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Apr 10, 2022Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆86Feb 23, 2023Updated 3 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 7 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆10Sep 8, 2023Updated 2 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- Target Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning☆10Jul 2, 2019Updated 6 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 4 months ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆203Aug 5, 2021Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- ☆55Feb 19, 2023Updated 3 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,431May 7, 2024Updated last year
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Jan 18, 2023Updated 3 years ago
- 联邦学习预测节点流量☆13Dec 5, 2020Updated 5 years ago
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Feb 28, 2022Updated 4 years ago
- an PyTorch image deep style transfer library. It provies implementations of current SOTA algorithms, including AdaIN, WCT, LinearStyleTra…☆13Apr 15, 2020Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆156Feb 16, 2025Updated last year
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Jul 13, 2020Updated 5 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Oct 3, 2022Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 2 years ago
- distributed federated learning for pytorch☆14Mar 19, 2018Updated 7 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆49Aug 18, 2023Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Nov 4, 2020Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Oct 3, 2022Updated 3 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…☆14Jun 19, 2020Updated 5 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆18Apr 27, 2022Updated 3 years ago
- ☆164Dec 23, 2022Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133May 20, 2023Updated 2 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Oct 13, 2023Updated 2 years ago
- ☆17Aug 5, 2024Updated last year
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆22Jul 12, 2021Updated 4 years ago
- I have the Artificial Intelligence knowledge you want.☆21Mar 1, 2023Updated 3 years ago