PRIVACY-PRESERVING

作品数:232被引量:344H指数:9
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相关领域:自动化与计算机技术更多>>
相关作者:杨萍杨明马朝虹更多>>
相关机构:电子科技大学复旦大学燕山大学上海交通大学更多>>
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相关基金:国家自然科学基金中国博士后科学基金国家教育部博士点基金北京市自然科学基金更多>>
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Privacy-preserving recommendation with coarse-grained spatiotemporal contexts
《Science China(Information Sciences)》2025年第4期62-77,共16页Lei CHEN Chen GAO Jiahuan LEI Xiaoyi DU Xinlei SHI Hengliang LUO Depeng JIN Yong LI Meng WANG 
supported in part by National Natural Science Foundation of China(Grant Nos.72188101,62272262,72342032,72442026,62402077);National Key Research and Development Program of China(Grant No.2022YFB3104-702);New Cornerstone Science Foundation through the XPLORER PRIZE,China Postdoctoral Science Foundation(Grant No.2023M741943);Postdoctoral Fellowship Program of CPSF(Grant No.GZC20231373)。
The behavior of users on online life service platforms like Meituan and Yelp often occurs within specific finegrained spatiotemporal contexts(i.e.,when and where).Recommender systems,designed to serve millions of user...
关键词:privacy-preserveing coarse-grained spatiotemporal contexts recommender systems 
Privacy-preserving filtering,control and optimization for industrial cyber-physical systems
《Science China(Information Sciences)》2025年第4期263-279,共17页Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG 
supported in part by National Natural Science Foundation of China(Grant No.62373251)。
Industrial cyber-physical systems closely integrate physical processes with cyberspace,enabling real-time exchange of various information about system dynamics,sensor outputs,and control decisions.The connection betwe...
关键词:industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems 
Federated local causal structure learning
《Science China(Information Sciences)》2025年第3期106-120,共15页Kui YU Chen RONG Hao WANG Fuyuan CAO Jiye LIANG 
supported by National Science and Technology Major Project of China(Grant No.2020AAA0106100);National Natural Science Foundation of China(Grant Nos.62376087,62306002)。
Local causal structure learning(LCS)efficiently identifies a set of direct neighbors of a specified variable from observational data.Additionally,it distinguishes direct causes and direct effects of this variable with...
关键词:local causal structure learning federated learning directed acyclic graph privacy-preserving data federated layer-wise strategy 
Privacy-preserving explainable AI:a survey
《Science China(Information Sciences)》2025年第1期20-53,共34页Thanh Tam NGUYEN Thanh Trung HUYNH Zhao REN Thanh Toan NGUYEN Phi Le NGUYEN Hongzhi YIN Quoc Viet Hung NGUYEN 
supported by ARC Discovery Early Career Researcher Award(Grant No.DE200101465);ARC DP Project(Grant No.DP240101108).
As the adoption of explainable AI(XAI)continues to expand,the urgency to address its privacy implications intensifies.Despite a growing corpus of research in AI privacy and explainability,there is little attention on ...
关键词:privacy-preserving explainable AI privacy attacks privacy defences PrivEx PPXAI 
Multi-party privacy-preserving decision tree training with a privileged party
《Science China(Information Sciences)》2024年第8期249-264,共16页Yiwen TONG Qi FENG Min LUO Debiao HE 
supported in part by Major Program(JD)of Hubei Province(Grant No.2023BAA027);National Natural Science Foundation of China(Grant Nos.62202339,62172307,U21A20466,62325209);New 20 Project of Higher Education of Jinan(Grant No.202228017);Fundamental Research Funds for the Central Universities(Grant No.2042023KF0203).
Currently,a decision tree is the most commonly used data mining algorithm for classification tasks.While a significant number of studies have investigated privacy-preserving decision trees,the methods proposed in thes...
关键词:privacy protection decision trees secure multi-party computation secret sharing privileged party 
Efficient privacy-preserving federated learning under dishonest-majority setting
《Science China(Information Sciences)》2024年第5期319-320,共2页Yinbin MIAO Da KUANG Xinghua LI Tao LENG Ximeng LIU Jianfeng MA 
supported by National Natural Science Foundation of China(Grant Nos.62072361,62125205,U23A20303);Key Research and Development Program of Shaanxi(Grant No.2022GY-019);Shaanxi Fundamental Science Research Project for Mathematics and Physics(Grant No.22JSY019);Opening Project of Intelligent Policing Key Laboratory of Sichuan Province(Grant No.ZNJW2023KFMS002);Open Fund of Key Laboratory of Computing Power Network and Information Security(Grant No.2023ZD020).
Federated learning(FL)is an emerging distributed learning paradigm that solves the problem of isolated data by jointly learning the global model through distributed clients.However,recent studies have shown that FL ma...
关键词:PRESERVING jointly GUARANTEE 
Locally differentially private high-dimensional data synthesis被引量:1
《Science China(Information Sciences)》2023年第1期21-38,共18页Xue CHEN Cheng WANG Qing YANG Teng HU Changjun JIANG 
supported by Strategic Research and Consulting Project of the Chinese Academy of Engineering (Grant No.2022-XY-107)。
In local differential privacy(LDP),a challenging problem is the ability to generate highdimensional data while efficiently capturing the correlation between attributes in a dataset.Existing solutions for low-dimension...
关键词:local differential privacy high-dimensional data synthesis sampling data privacy privacy-preserving protocols 
ACCEL: an efflcient and privacy-preserving federated logistic regression scheme over vertically partitioned data被引量:2
《Science China(Information Sciences)》2022年第7期94-95,共2页Jiaqi ZHAO Hui ZHU Fengwei WANG Rongxing LU Hui LI Zhongmin ZHOU Haitao WAN 
supported by National Key R&D Program of China (Grant No. 2021YFB3101300);National Natural Science Foundation of China (Grant Nos.61972304, 61932015);Science Foundation of the Ministry of Education (Grant No. MCM20200101)。
Dear editor,With the age of big data coming, massive data are being generated distributedly all the time and stored as the form of data islands;meanwhile, data privacy and security are strengthened with the introducti...
关键词:STRENGTHENED MASSIVE WIDESPREAD 
Efficient privacy-preserving user authentication scheme with forward secrecy for industry 4.0被引量:5
《Science China(Information Sciences)》2022年第1期188-202,共15页Chenyu WANG Ding WANG Guoai XU Debiao HE 
supported by the National Key Research and Development Plan of China(Grant No.2018YFB0803605);National Natural Science Foundation of China(Grant No.61802006)。
Industry 4.0,which combines information technology,network and industrial production,is expected to have a tremendous impact on our daily lives.In such a complex and security-critical system with resource-constrained ...
关键词:industry 4.0 wireless sensor networks password authentication forward secrecy offline dictionary attack 
SecBCS: a secure and privacy-preserving blockchain-based crowdsourcing system被引量:6
《Science China(Information Sciences)》2020年第3期16-29,共14页Chao LIN Debiao HE Sherali ZEADALLY Neeraj KUMAR Kim-Kwang Raymond CHOO 
supported in part by National Key Research and Development Program of China (Grant No. 2018YFC1604004);National Natural Science Foundation of China (Grant Nos. 61572379, 61772377, 61841701);Natural Science Foundation of Hubei Province of China (Grant Nos. 2017CFA007, 2015CFA068);supported by Cloud Technology Endowed Professorship
A robust and scalable crowd management infrastructure is crucial in addressing operational challenges when deploying high-density sensors and actuators in a smart city. While crowdsourcing is widely used in crowd mana...
关键词:crowdsourcing blockchain SECURE PRIVACY-PRESERVING smart contract 
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