BUAA-BDA / PrivacyComputing-PaperListLinks
This is a recommended paper list for the course of Privacy Computing.
☆11Updated last year
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- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 4 months ago
- ☆21Updated last year
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆71Updated last month
- FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated this week
- ☆88Updated 5 years ago
- ☆19Updated 3 years ago
- ☆42Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- Nopeek experiments☆14Updated 5 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆24Updated 5 months ago
- A sybil-resilient distributed learning protocol.☆105Updated last year
- ☆14Updated 6 months ago
- federated-learning☆82Updated 2 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 11 months ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- ☆45Updated last year