dasec / iris-he-ntru-btpLinks
Implementation for iris biometric template protection based on NTRU homomorphic encryption.
☆11Updated 4 years ago
Alternatives and similar repositories for iris-he-ntru-btp
Users that are interested in iris-he-ntru-btp are comparing it to the libraries listed below
Sorting:
- Source code of "Deep Rank Hashing Network for Cancellable Face Identification"☆12Updated 3 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Updated last year
- 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
- Implementation of the local and global unlinkability metrics for biometric template protection systems☆20Updated 6 years ago
- Privacy mechanisms for decentralized fingerprint-based authentication☆13Updated 5 years ago
- 基于全同态加密的安全人脸识别系统/Secure Face Recognition System based on Fully Homomorphic Encryption☆145Updated 2 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆30Updated 5 years ago
- Tricks for Accelerating (encrypted) Prediction As a Service☆19Updated 6 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 5 years ago
- A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy☆31Updated 5 years ago
- Secure outsourcing of image editing to untrusted cloud environments by implementing Paillier's Homomorphic Cryptosystem and extending it …☆41Updated 5 years ago
- Proof of concept for CryptoDL made for BigSec course @ EURECOM☆19Updated 6 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆49Updated 4 years ago
- Implementation of "Reading in the Dark: Classifying Encrypted Digits with Functional Encryption"☆22Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 6 years ago
- Paper Notes in MPC with Applications to PPML☆71Updated last year
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18Updated last year
- Python implementation of "Somewhat Practical Fully Homomorphic Encryption"☆24Updated 5 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Updated 4 years ago
- personal implementation of secure aggregation protocol☆47Updated last year
- MCSI☆13Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆40Updated 3 years ago
- 📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.S…☆21Updated 2 years ago
- Privacy preserving vertical federated learning for tree-based models☆30Updated 4 years ago
- ☆10Updated 4 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago