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 5 months 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
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆104Updated last month
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆37Updated last month
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆48Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆166Updated 2 years ago
- ☆43Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- ☆18Updated 4 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆88Updated 5 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Updated last year
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆12Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆68Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆129Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- ☆36Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆24Updated 7 months ago