21 skills found
IBM / Fhe Toolkit LinuxIBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.
primihub / PrimihubPrivacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
data61 / MP SPDZVersatile framework for multi-party computation
shreyaskarnik / DistiLlamaChrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐
veracruz-project / VeracruzMain repository for the Veracruz privacy-preserving compute project, an adopted project of the Confidential Compute Consortium (CCC).
secretflow / KusciaKuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.
secretflow / SecretpadSecretPad is a privacy-preserving computing web platform based on the Kuscia framework, designed to provide easy access to privacy-preserving data intelligence and machine learning functions.
secretflow / TrustflowA privacy-preserving computing system based on TEE.
Maresoul / JODRL PPRepository for 'Privacy-Preserving Offloading Scheme in Multi-Access Edge Computing Based on MADRL'
delta-mpc / Delta DocsDelta Development Documentation
sunxiaojun / Privacy Preserving ComputingNo description available
Stoffel-Labs / Mpc ProtocolsMPC Protocols for the Stoffel framework
kiprotect / Konsens WebKonsens: Privacy-preserving analytics based on federated computing and differential privacy.
KOSASIH / HyperMeshUltra-fast and ultra-secure decentralized internet infrastructure utilizing blockchain, mesh networking, and quantum computing, ensuring universal access to information and preserving digital privacy.
Crypto-TII / FANNG MPCYour GoTo Library for NN's over MPC
mayawar88 / Blockchain ProjectRecent years have witnessed a paradigm shift in the storage of Electronic Health Records (EHRs) on mobile cloud environments, where mobile devices are integrated with cloud computing to facilitate medical data exchanges among patients and healthcare providers. This advanced model enables healthcare services with low operational cost, high flexibility, and EHRs availability. However, this new paradigm also raises concerns about data privacy and network security for e-health systems. How to reliably share EHRs among mobile users while guaranteeing high-security levels in the mobile cloud is a challenging issue. In this paper, we propose a novel EHRs sharing framework that combines blockchain and the decentralized interplanetary file system (IPFS) on a mobile cloud platform. Particularly, we design a trustworthy access control mechanism using smart contracts to achieve secure EHRs sharing among different patients and medical providers. We present a prototype implementation using Ethereum blockchain in a real data sharing scenario on a mobile app with Amazon cloud computing. The empirical results show that our proposal provides an effective solution for reliable data exchanges on mobile clouds while preserving sensitive health information against potential threats. The system evaluation and security analysis also demonstrate the performance improvements in lightweight access control design, minimum network latency with high security and data privacy levels, compared to the existing data sharing models
veracruz-project / Veracruz Docker ImageDevelopment Docker image for the Veracruz privacy-preserving compute project. Veracruz is an adopted project of the Confidential Compute Consortium (CCC).
10d9e / Non Interactive MpcNon Interactive Multi Party Computation (MPC) Protocol Simulation
cicada-mpc / Cicada MpcFault-tolerant secure multiparty computation in Python.
haodong-xie / Privacy Preserving Edge Intelligent Computing Based On Federated LearningNo description available
