seanpavlak / pride-backend
Privacy Preserving Federated Learning on a Deep Neural Network
☆8Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pride-backend
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆16Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆57Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆81Updated 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
- An implementation of Deep Learning with Differential Privacy☆23Updated last year
- personal implementation of secure aggregation protocol☆42Updated 9 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆106Updated last month
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆19Updated 2 weeks ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆18Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- vertical federated learning demo with crypten☆45Updated 3 years ago
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆18Updated 10 months ago
- Multi‐key homomorphic encryption based on MKCKKS☆17Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago