siquanhuang / ScopeLinks
Scope: On Detecting Constrained Backdoor Attacks in Federated Learning
☆18Updated 2 months ago
Alternatives and similar repositories for Scope
Users that are interested in Scope are comparing it to the libraries listed below
Sorting:
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆31Updated 2 years ago
- ☆39Updated last year
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆19Updated 3 years ago
- Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"☆10Updated 7 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆83Updated last year
- ☆52Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 11 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- ☆16Updated last year
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last week
- Paper notes and code for differentially private machine learning☆357Updated 2 weeks ago
- ☆24Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆399Updated 10 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆53Updated 2 years ago
- ☆33Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 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
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆33Updated 6 months ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆147Updated 7 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- ☆14Updated 2 years ago
- ☆35Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆42Updated last week
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆17Updated 3 months ago
- Accenture Labs Federated Learning☆104Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago