chamikara1986 / LDPFL
Local Differential Privacy for Federated Learning
☆16Updated 2 years ago
Alternatives and similar repositories for LDPFL:
Users that are interested in LDPFL are comparing it to the libraries listed below
- Differentially Private Federated Learning on Heterogeneous Data☆60Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 10 months ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆19Updated 8 months ago
- ☆33Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆46Updated last year
- DPSUR☆23Updated 3 weeks ago
- ☆37Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 4 months ago
- ☆38Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆28Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆61Updated 5 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- ☆12Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆110Updated 4 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆140Updated 2 years ago
- ☆54Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- An implementation of Deep Learning with Differential Privacy☆24Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago