hepucuncao / MIA_toolboxLinks
支持数据撤销的模型成员推理攻击工具箱
☆43Updated 7 months ago
Alternatives and similar repositories for MIA_toolbox
Users that are interested in MIA_toolbox are comparing it to the libraries listed below
Sorting:
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- personal implementation of secure aggregation protocol☆45Updated last year
- Code repository for the paper at USENIX Security'24☆33Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆130Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆89Updated 6 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆37Updated 2 months ago
- Repository for collection of research papers on multi-party learning.☆33Updated 2 years ago
- SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture☆103Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture☆117Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture☆99Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆170Updated 2 years ago
- Paper Notes in MPC with Applications to PPML☆70Updated last year
- Paper notes and code for differentially private machine learning☆361Updated 2 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 4 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆36Updated 2 years ago
- ☆28Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.☆86Updated last month
- ☆35Updated 3 years ago
- ☆16Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆32Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated last year
- ☆54Updated 2 years ago
- A secure aggregation system for private federated learning☆43Updated last year
- Sample LDP implementation in Python☆128Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago