Granular Privacy Controls
Granular Privacy Controls is a privacy management framework that enables users to exercise fine-grained, attribute-level customization over the collection, use, and sharing of their personal data, distinguishing it from coarse or binary control mechanisms by offering precise, context-specific configurability.
9
Publications
521
Citations
28
Authors
16
Institutions
Publications per year
2017–2026
1
Parents
9
PPNP: A Privacy Profile Negotiation Protocol for Services in Public Spaces
Shuhei Tamaru, Jin Nakazawa, Kazunori Takashio et al. · 2003 · 17 citations
1–5 of 9
28
1
h-index
1
h-index
University of California, Riverside, United States
1 publications · 11 citations
1
h-index
1
h-index
1
h-index
1–5 of 28
16

Beth Israel Deaconess Medical Center
Boston, United States
1 h-index
1 publications
39 citations

Johns Hopkins University
Baltimore, United States
1 h-index
2 publications
78 citations
The University of Texas at Dallas
Richardson, United States
1 h-index
2 publications
192 citations
University of California, Riverside
Riverside, United States
1 h-index
4 publications
44 citations
Brooklyn Law School
Brooklyn, United States
1 h-index
1 publications
12 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
1 publications
290 citations

University of British Columbia
Vancouver, Canada
1 h-index
2 publications
192 citations
VNS Health
New York, United States
1 h-index
1 publications
39 citations
1–8 of 16
1 publications · 12 citations
1
h-index
1 publications · 11 citations
1
h-index
JAMIA · 1 publications · 290 citations
1
h-index
ISR · 1 publications · 96 citations
1
h-index
1 publications · 39 citations
1
h-index
1–5