When Behavioral Data Betray Users: A Diagnostic and Protective Framework Against Social Interaction Leakages
- Yan Leng ,
Corresponding Author
Yan Leng
[email protected]https://orcid.org/0000-0002-7084-2700
Information, Risk, and Operations Management Department, McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712
- Yijun Chen ,
Yijun Chen
[email protected]https://orcid.org/0000-0002-9637-9064
University of Melbourne, Melbourne 3010, Victoria, Australia
- Xiaowen Dong ,
Xiaowen Dong
[email protected]https://orcid.org/0000-0002-1143-9786
Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
- Junfeng Wu ,
Junfeng Wu
[email protected]https://orcid.org/0000-0002-7125-3748
School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
- Guodong Shi
Guodong Shi
[email protected]https://orcid.org/0000-0002-5929-9655
Australian Centre for Robotics, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia
Corresponding Author
Yan Leng
[email protected]https://orcid.org/0000-0002-7084-2700
Information, Risk, and Operations Management Department, McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712
Yijun Chen
[email protected]https://orcid.org/0000-0002-9637-9064
University of Melbourne, Melbourne 3010, Victoria, Australia
Xiaowen Dong
[email protected]https://orcid.org/0000-0002-1143-9786
Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
Junfeng Wu
[email protected]https://orcid.org/0000-0002-7125-3748
School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
Guodong Shi
[email protected]https://orcid.org/0000-0002-5929-9655
Australian Centre for Robotics, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia
