BUAA-BDA / PrivacyComputing-PaperListLinks
This is a recommended paper list for the course of Privacy Computing.
☆10Updated last year
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- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- Nopeek experiments☆14Updated 5 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 6 months ago
- ☆43Updated 2 years ago
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- Privacy-preserving Federated Learning with Trusted Execution Environments☆74Updated 4 months ago
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- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆72Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆170Updated 2 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆37Updated 2 months ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- Local Differential Privacy for Federated Learning☆18Updated 3 years ago
- ☆19Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 4 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 5 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆130Updated 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
- personal implementation of secure aggregation protocol☆45Updated last year
- A sybil-resilient distributed learning protocol.☆104Updated 2 months ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- Useful tools for differential privacy☆218Updated 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
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
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- Paper Notes in MPC with Applications to PPML☆70Updated last year