Introduction to Secure Collaborative Intelligence (SCI) Lab

Pu Duan
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引用次数: 1

Abstract

With the rapid development of technology, user privacy and data security are drawing much attention over the recent years. On one hand, how to protect user privacy while making use of customers? data is a challenging task. On the other hand, data silos are becoming one of the most prominent issues for the society. How to bridge these isolated data islands to build better AI and BI systems while meeting the data privacy and regulatory compliance requirements has imposed great challenges. Secure Collaborative Intelligence (SCI) lab at Ant Group dedicates to leverage multiple privacy-preserving technologies on AI and BI to solve these challenges. The goal of SCI lab is to build enterprise-level solutions that allow multiple data owners to achieve joint risk control, joint marketing, joint data analysis and other cross-organization collaboration scenarios without compromising information privacy or violating any related security policy. Compared with other solution providers, SCI lab has been working with top universities and research organizations to build the first privacy-preserving open platform for collaborative intelligence computation in the world. It is the first platform that combines all three cutting-edge privacy-preserving technologies, secure multi-party computation (MPC), differential privacy (DP) and trusted execution environment (TEE) that are based on cryptography, information theory and computer hardware respectively, on multi-party AI and BI collaboration scenarios. During multi-party collaboration, all inputs, computations and results are protected under specific security policy dedicatedly designed for each data owner. At this time, the platform has been applied to various business scenarios in Ant group and Alibaba Group, including joint lending, collaborative data analysis, joint payment fraud detection, etc. More than 20 financial organizations, have been benefited from the secure data collaboration and computing services provided by SCI lab.
安全协同智能(SCI)实验室简介
近年来,随着科技的飞速发展,用户隐私和数据安全受到越来越多的关注。一方面,如何在利用客户的同时保护用户隐私?数据是一项具有挑战性的任务。另一方面,数据孤岛正在成为社会上最突出的问题之一。如何弥合这些孤立的数据孤岛,以构建更好的AI和BI系统,同时满足数据隐私和法规遵从性要求,这是一个巨大的挑战。蚂蚁集团的安全协同智能(SCI)实验室致力于利用人工智能和商业智能上的多种隐私保护技术来解决这些挑战。SCI实验室的目标是构建企业级解决方案,使多个数据所有者在不损害信息隐私或违反任何相关安全政策的情况下,实现联合风控、联合营销、联合数据分析等跨组织协作场景。与其他解决方案提供商相比,SCI实验室一直在与顶尖大学和研究机构合作,构建世界上第一个隐私保护的开放式协同智能计算平台。它是首个将安全多方计算(MPC)、差分隐私(DP)和可信执行环境(TEE)这三种前沿隐私保护技术,分别基于密码学、信息论和计算机硬件,结合在多方AI和BI协作场景下的平台。在多方协作过程中,所有输入、计算和结果都受到为每个数据所有者专门设计的特定安全策略的保护。此时,该平台已经应用于蚂蚁集团和阿里巴巴集团的各种业务场景,包括联合借贷、协同数据分析、联合支付欺诈检测等。超过20家金融机构受益于SCI实验室提供的安全数据协作和计算服务。
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