Privacy-preserving Query Processing
Privacy-Preserving Query Processing is a computational framework in cloud privacy protection that enables data querying over encrypted or obfuscated datasets while ensuring that sensitive information remains confidential and inaccessible to unauthorized parties during processing.
857
Publications
55.1K
Citations
2K
Authors
633
Institutions
Publications per year
2017–2026
387
Parents
857
Practical techniques for searches on encrypted data
Dawn Xiaoding Song, David Wagner, Adrian Perrig · 2002 · 3.3K citations
Executing SQL over encrypted data in the database-service-provider model
Hakan Hacígümüş, B. R. Iyer, Chen Li et al. · 2002 · 1.1K citations
Frank McSherry · 2009 · 1.1K citations
Revealing information while preserving privacy
Irit Dinur, Kobbi Nissim · 2003 · 999 citations
1–5 of 857
2K
24
h-index
17
h-index
17
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16
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633

Xidian University
Xi'an, China
29 h-index
129 publications
5.7K citations
Singapore Management University
Singapore, Singapore
23 h-index
38 publications
1.8K citations
Purdue University West Lafayette
West Lafayette, United States
22 h-index
68 publications
3.7K citations
University of New Brunswick
Fredericton, Canada
21 h-index
96 publications
3.3K citations

Hunan University
Changsha, China
20 h-index
76 publications
3.7K citations

University of Waterloo
Waterloo, Canada
19 h-index
47 publications
2.4K citations
Nanyang Technological University
Singapore, Singapore
19 h-index
40 publications
2.3K citations
Zhejiang Gongshang University
Hangzhou, China
19 h-index
21 publications
795 citations
1–8 of 633
PVLDB · 33 publications · 2.2K citations
23
h-index
TDSC · 35 publications · 1.6K citations
23
h-index
23 publications · 1.3K citations
21
h-index
TKDE · 28 publications · 1.6K citations
20
h-index
25 publications · 987 citations
19
h-index
1–5