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...
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 ...
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...
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...
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...
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...
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 ...
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...
supported by National Natural Science Foundation of China (Grant Nos. 61972037, 61402037, U1836212, 61872041);Graduate Technological Innovation Project of Beijing Institute of Technology (Grant No. 2019CX10014)
The recent proliferation of mobile devices has given rise to mobile online social networks(m OSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical compon...
supported by Beijing Natural Science Foundation (Grant No. 4182060); Fundamental Research Funds for the Central Universities (Grant No. 2018ZD06)
Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization.However, security...