lucifer2859 / Paillier-LWE-based-PHEView external linksLinks
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
☆72Dec 15, 2020Updated 5 years ago
Alternatives and similar repositories for Paillier-LWE-based-PHE
Users that are interested in Paillier-LWE-based-PHE are comparing it to the libraries listed below
Sorting:
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆24Jun 9, 2022Updated 3 years ago
- This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plai…☆13Aug 23, 2022Updated 3 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 6 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆132Sep 30, 2024Updated last year
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated 9 months ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 5 years ago
- MIT开发的支持整数向量的同态加密 支持向量的加法,乘法和内积☆15Jun 12, 2020Updated 5 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆49Feb 3, 2021Updated 5 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Materials about Privacy-Preserving Machine Learning☆263Feb 2, 2026Updated 2 weeks 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☆146May 1, 2023Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Jan 28, 2019Updated 7 years ago
- Implementation for iris biometric template protection based on NTRU homomorphic encryption.☆11Dec 20, 2021Updated 4 years ago
- Secure outsourcing of image editing to untrusted cloud environments by implementing Paillier's Homomorphic Cryptosystem and extending it …☆41Jun 25, 2020Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- ☆52May 19, 2022Updated 3 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- This repo contains code/learning resources related to Homomorphic Encryption.☆27Oct 12, 2019Updated 6 years ago
- tf implementation of federated learning☆42May 15, 2019Updated 6 years ago
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 3 years ago
- This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).☆12Sep 20, 2019Updated 6 years ago
- An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.☆12Jun 16, 2019Updated 6 years ago
- 一个基于区块链的存储系统,可以在多个节点(设备)中,为用户生成非对称加密的公私钥对,并使用此密钥对,对数据进行加密上传,和解密下载。☆14Nov 16, 2022Updated 3 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- ☆12Dec 26, 2024Updated last year
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Dec 10, 2022Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆85Jun 27, 2023Updated 2 years ago
- Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning☆15Apr 25, 2024Updated last year
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆13Aug 22, 2022Updated 3 years ago
- ☆90May 27, 2020Updated 5 years ago
- code repo for paper accepted in ICML 2023☆14Oct 19, 2023Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆32Nov 20, 2020Updated 5 years ago
- My Final Year Project using Microsoft SEAL: Logistic Regression over Encrypted Data.☆33Apr 27, 2021Updated 4 years ago
- Homomorphic Random Forest library☆17Apr 12, 2023Updated 2 years ago