Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies. - intel/confidential-computing-zoo
海光CSV、Intel TDX、AMD SEV等都有相应的机密容器和虚拟机实现方式,Occlum、Inclavare Containers、Enclave - CC等也为机密计算提供了不同层面的支持,保障应用在安全环境中运行。 6. 解决方案:介绍Intel Confidential Computing Zoo和PPML等解决方案。Intel Confidential Computing Zoo提供多场景参考案例,助力用户设计和实...
运行时底座介绍了多种机密容器和虚拟机的使用方法,如基于不同认证方式的海光CSV机密容器、Intel TDX机密容器等,详细说明了其部署和运行步骤。解决方案层面,Intel Confidential Computing Zoo提供了丰富的开源参考案例,涵盖在线推理服务、联邦学习、隐私集合求交等场景;PPML则是端到端隐私保护机器学习解决方案,利用英特尔硬件...
Azure confidential computing Confidential computing on Azure enables new scenarios, such as multiparty machine learning, helps strengthen security for blockchain, and enhances always-encrypted technology. Building on Intel Software Guard Extensions (Intel SGX), it delivers added protections for data while...
Confidential Computing Zoo (CCZoo), a collection of code-ready reference solutions to facilitate developers to build their own end-to-end Confidential Computing solutions easily with Gramine. We recentlypublishedanother solution brief on Gramine highlighting several use cases...
268 Views Hello, unfortunately, I cannot understand the question and thus cannot provide an answer. If this question is related to the Confidential Computing Zoo project, please use support mechanism provided by the project. Best regards,Benny Translate 0 Kudos Copy link Reply Co...
Yunge is a PSE Team engineer (DCAI China). He focuses on Confidential Computing collaborations with China CSPs and support Intel customers to enable Intel SGX and TDX technologies. He is also the maintainer of Intel opensource project CCZoo: https://github.com/...
Azure confidential computing Confidential computing on Azure enables new scenarios, such as multiparty machine learning, helps strengthen security for blockchain, and enhances always-encrypted technology. Building on Intel Software Guard Extensions (Intel SGX), it delivers added protections for data while...
3. 解决方案与应用案例:Intel Confidential Computing Zoo提供多场景参考案例,助力用户开发。以TensorFlow Serving在线推理服务、横向联邦学习、隐私集合求交方案为例,展示如何基于Anolis OS和Intel SGX技术实现安全部署。PPML作为端到端隐私保护机器学习解决方案,利用英特尔技术构建安全平台,在多领域有应用成果。
3. 运行时底座与解决方案:涵盖多种运行时底座技术,如海光CSV机密容器、Intel TDX机密容器、Occlum、Inclavare Containers等,它们在不同场景下为机密计算提供了有力支持。还介绍了Intel Confidential Computing Zoo、PPML等机密计算解决方案,这些方案在不同应用场景中发挥着重要作用,推动了机密计算的实际应用。