BUAA-BDA / PrivacyComputing-PaperListLinks
This is a recommended paper list for the course of Privacy Computing.
☆10Updated last year
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- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 7 months ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆39Updated 3 months ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆17Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- ☆35Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Single & Multi Key Homomorphic Encryption Library☆19Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆171Updated 3 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Updated 4 years ago
- Differential private machine learning☆196Updated 3 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
- ☆90Updated 5 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Updated 4 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- personal implementation of secure aggregation protocol☆47Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆52Updated 2 years ago
- Local Differential Privacy for Federated Learning☆18Updated 3 years ago
- ☆23Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 6 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- Repository for collection of research papers on multi-party learning.☆34Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆38Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 5 months ago
- Paper Notes in MPC with Applications to PPML☆71Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Updated 6 years ago