innovation-cat / awesome-privacy-preserving-machine-learningLinks
A curated list of awesome privacy preserving machine learning resources
☆13Updated 5 years ago
Alternatives and similar repositories for awesome-privacy-preserving-machine-learning
Users that are interested in awesome-privacy-preserving-machine-learning are comparing it to the libraries listed below
Sorting:
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆94Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆162Updated 4 years ago
- federated-learning☆86Updated 2 years ago
- Differential private machine learning☆196Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- simple Differential Privacy in PyTorch☆49Updated 5 years ago
- ☆177Updated last year
- This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).☆86Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆309Updated last year
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆107Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆201Updated 4 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆123Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆194Updated 2 years ago
- ☆162Updated 2 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 10 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆52Updated 3 years ago
- ☆73Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆67Updated last year
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Updated 4 months ago
- ☆70Updated 3 years ago