Privacy Preservation
Privacy Preservation is a methodological framework within data collection ethics that ensures individual data remains confidential and inaccessible to unauthorized entities by employing techniques that prevent re-identification and unauthorized inference while enabling lawful data analysis.
1.9K
Publications
119.7K
Citations
5.1K
Authors
1.5K
Institutions
Publications per year
2017–2026
1.1K
1.9K
Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · ACM SIGMOD Record · 2000 · 3K citations
Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · 2000 · 1.7K citations
Frank McSherry · 2009 · 1.1K citations
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Xidian University
Xi'an, China
35 h-index
161 publications
9.6K citations

University of Waterloo
Waterloo, Canada
34 h-index
155 publications
22.8K citations

University of Electronic Science and Technology of China
Chengdu, China
31 h-index
120 publications
8.2K citations
Nanyang Technological University
Singapore, Singapore
28 h-index
64 publications
9.5K citations
University of Technology Sydney
Sydney, Australia
24 h-index
67 publications
5.2K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
22 h-index
43 publications
2.8K citations

Shanghai Jiao Tong University
Shanghai, China
21 h-index
54 publications
2.5K citations

King Saud University
Riyadh, Saudi Arabia
21 h-index
44 publications
2.9K citations
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