lucifer2859 / Paillier-LWE-based-PHE
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
☆68Updated 4 years ago
Alternatives and similar repositories for Paillier-LWE-based-PHE:
Users that are interested in Paillier-LWE-based-PHE are comparing it to the libraries listed below
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆28Updated 3 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆26Updated 2 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- ☆83Updated 4 years ago
- personal implementation of secure aggregation protocol☆43Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 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
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- ☆28Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆18Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)☆12Updated 6 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- A secure aggregation system for private federated learning☆39Updated 10 months ago
- ☆33Updated 2 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆15Updated last year
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆66Updated 6 months ago
- Paper Notes in MPC with Applications to PPML☆67Updated last year