lcoEntreprise / flower-homomorphic_encryption
☆18Updated last year
Alternatives and similar repositories for flower-homomorphic_encryption:
Users that are interested in flower-homomorphic_encryption are comparing it to the libraries listed below
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆68Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆22Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆28Updated 3 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Updated 5 months ago
- ☆12Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆13Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 6 months ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- Concealing Sensitive Samples against Gradient Leakage in Federated Learning (AAAI2024)☆8Updated 9 months ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆45Updated last year
- Multi‐key homomorphic encryption based on MKCKKS☆19Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆31Updated 4 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆29Updated 3 years ago
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆16Updated 2 months ago
- A secure aggregation system for private federated learning☆40Updated 11 months ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆104Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 2 months ago