NusIoraPrivacy / eaas-privacyLinks
☆21Updated last year
Alternatives and similar repositories for eaas-privacy
Users that are interested in eaas-privacy are comparing it to the libraries listed below
Sorting:
- Code release for MPCViT accepted by ICCV 2023☆16Updated 7 months ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 4 months ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- ☆88Updated 5 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆97Updated last year
- FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated this week
- Repository for collection of research papers on multi-party learning.☆33Updated 2 years ago
- ☆65Updated 2 years ago
- This is a recommended paper list for the course of Privacy Computing.☆11Updated last year
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆52Updated 6 months ago
- ☆35Updated 3 years ago
- ☆42Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- paper code☆26Updated 4 years ago
- DPSUR☆27Updated 7 months ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆23Updated 4 months ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- ☆25Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆146Updated 6 months ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆71Updated last month
- ☆316Updated last month
- Private Inference on Transformer☆27Updated 2 years ago
- Paper notes and code for differentially private machine learning☆356Updated this week
- Privacy attacks on Split Learning☆42Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆52Updated 2 years ago
- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆10Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆40Updated 2 years ago
- ☆25Updated last year