marcoszh / BatchCrypt
☆82Updated 4 years ago
Alternatives and similar repositories for BatchCrypt:
Users that are interested in BatchCrypt are comparing it to the libraries listed below
- Secure Aggregation for FL☆34Updated last year
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- personal implementation of secure aggregation protocol☆43Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 years ago
- A secure aggregation system for private federated learning☆39Updated 9 months ago
- ☆28Updated last year
- 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
- Secure Aggregation for Federated Learning with Malicious Actors☆24Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆21Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆24Updated 3 weeks ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Paper Notes in MPC with Applications to PPML☆65Updated 10 months ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆64Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated last year
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆40Updated 5 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆15Updated last year
- Multi‐key homomorphic encryption based on MKCKKS☆18Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆114Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆139Updated this week
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)☆12Updated 6 years ago
- vertical federated learning demo with crypten☆47Updated 3 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 7 months ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- A sybil-resilient distributed learning protocol.☆100Updated last year