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软件学报 ISSN 1000-9825, CODEN RUXUEW                                        E-mail: jos@iscas.ac.cn
                 2026,37(1):301−325 [doi: 10.13328/j.cnki.jos.007478] [CSTR: 32375.14.jos.007478]  http://www.jos.org.cn
                 ©中国科学院软件研究所版权所有.                                                          Tel: +86-10-62562563



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                 数据要素流通全流程隐私关键技术: 现状、挑战与展望

                 刘立伟  1 ,    傅超豪  1 ,    孙泽堃  1 ,    周    耘  1 ,    阮    娜  1 ,    蒋昌俊  2


                 1
                  (上海交通大学 计算机学院, 上海 200240)
                 2
                  (同济大学 计算机科学与技术系, 上海 201804)
                 通信作者: 阮娜, E-mail: naruan@sjtu.edu.cn

                 摘 要: 近年来以大语言模型为代表的一系列数据驱动型 AIGC 应用深刻地改变了人们的生活范式, 引起国家对
                 数据流通、数据隐私等问题的高度重视. 健全数据市场规范, 完善数据要素流通机制成为数字经济时代下又一重
                 大研究课题. 但是现有数据隐私研究普遍聚焦于数据流通中的单一环节, 并未展现数据流通的全貌, 技术研究相对
                 孤立, 存在不兼容性等问题. 因此数据服务提供商在实际生产活动中往往需要投入额外人力成本以进行全方位的
                 数据隐私保护. 聚焦数据流通问题, 依据数据生命周期将流通全过程划分为                       3  个阶段, 对各阶段的隐私关键技术建
                 立系统的分类体系, 并对各领域的最新进展、未来挑战等问题进行深入剖析. 以数据流通为载体, 隐私技术为目标,
                 涵盖数据流通全过程, 有助于研究者快速建立对数据流通全流程隐私技术的系统认识, 为后续研究建立完备的全
                 流程数据流通隐私保护范式奠定基础.
                 关键词: 数据流通; 数字水印; 联邦学习; 区块链; 忘却学习
                 中图法分类号: TP311

                 中文引用格式: 刘立伟, 傅超豪, 孙泽堃, 周耘, 阮娜, 蒋昌俊. 数据要素流通全流程隐私关键技术: 现状、挑战与展望. 软件学报,
                 2026, 37(1): 301–325. http://www.jos.org.cn/1000-9825/7478.htm
                 英文引用格式: Liu LW, Fu CH, Sun ZK, Zhou Y, Ruan N, Jiang CJ. Privacy Key Technologies in Whole Stages of Data Circulation:
                 Current Situation, Challenges, and Prospects. Ruan Jian Xue Bao/Journal of Software, 2026, 37(1): 301–325 (in Chinese). http://www.
                 jos.org.cn/1000-9825/7478.htm

                 Privacy Key Technologies in Whole Stages of Data Circulation: Current Situation, Challenges, and
                 Prospects
                                     1
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                                                1
                 LIU Li-Wei , FU Chao-Hao , SUN Ze-Kun , ZHOU Yun , RUAN Na , JIANG Chang-Jun 2
                 1
                 (School of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China)
                 2
                 (School of Computer Science and Technology, Tongji University, Shanghai 201804, China)
                 Abstract:  In  recent  years,  a  series  of  data-driven  AIGC  applications,  represented  by  large  language  models,  have  profoundly  changed
                 people’s  lifestyles,  drawing  significant  attention  from  nations  to  issues  such  as  data  circulation  and  data  privacy.  Establishing  robust  data
                 market  regulations  and  improving  data  circulation  mechanisms  have  become  important  research  topics.  However,  existing  research  on  data
                 privacy  generally  focuses  on  individual  aspects  of  data  circulation  and  does  not  provide  a  comprehensive  view  of  the  entire  process.
                 Technical  research  is  often  fragmented,  leading  to  issues  such  as  incompatibility.  As  a  result,  data  service  providers  often  need  to  invest
                 additional  manpower  in  practical  production  activities  to  implement  comprehensive  data  privacy  protection.  This  study  focuses  on  data
                 circulation,  dividing  the  entire  circulation  process  into  three  stages,  and  establishes  a  systematic  classification  framework  for  privacy
                 technologies  at  each  stage.  This  study  uses  data  circulation  as  a  carrier  and  privacy  technology  as  the  subject,  comprehensively  covering
                 the  entire  process  of  data  circulation.  It  also  provides  an  in-depth  analysis  of  the  latest  developments  and  future  challenges  in  various


                 *    基金项目: 国家自然科学基金  (62472276); 国家重点研发计划  (2023YFB2704700); 国家电网公司科技项目  (5700-202321603A-3-2-ZN);
                  上海市科学技术委员会      (23511101000, 24BC3200400)
                  收稿时间: 2025-01-16; 修改时间: 2025-03-13; 采用时间: 2025-05-27; jos 在线出版时间: 2025-10-29
                  CNKI 网络首发时间: 2025-10-31
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