lcoEntreprise / flower-homomorphic_encryptionLinks
☆19Updated 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
Sorting:
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆71Updated 2 years ago
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Updated 8 months ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- ☆14Updated 2 years ago
- Concealing Sensitive Samples against Gradient Leakage in Federated Learning (AAAI2024)☆8Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆80Updated 11 months ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆39Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 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
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- Federated learning used to detect credit card fraud☆13Updated 5 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆24Updated 2 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated 8 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆122Updated 9 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated 3 weeks ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆195Updated 4 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆143Updated 5 months ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago