Physical Unclonable Function Verification
Physical Unclonable Function Verification is a formal methodology within hardware security verification that rigorously assesses the authenticity, uniqueness, and resilience of Physical Unclonable Functions by validating their cryptographic properties and physical realizability against specified threat models and implementation constraints.
80
Publications
3.5K
Citations
306
Authors
117
Institutions
Publications per year
2017–2026
43
Variants
Puf Verification
80
A large scale characterization of RO-PUF
Abhranil Maiti, Jeff Casarona, Luke McHale et al. · 2010 · 369 citations
A soft decision helper data algorithm for SRAM PUFs
Roel Maes, Pim Tuyls, Ingrid Verbauwhede · 2009 · 176 citations
1–5 of 80
306
7
h-index
4
h-index
3
h-index
3
h-index
2
h-index
1–5 of 306
117

Rice University
Houston, United States
7 h-index
17 publications
1.8K citations
University of Connecticut
Storrs, United States
4 h-index
10 publications
328 citations
Intel (United States)
Santa Clara, United States
3 h-index
14 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
169 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
5 publications
241 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
7 publications
132 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
2 h-index
5 publications
93 citations

Inha University
Incheon, South Korea
2 h-index
4 publications
123 citations
1–8 of 117
3 publications · 194 citations
3
h-index
3 publications · 178 citations
3
h-index
2 publications · 27 citations
2
h-index
Repository · 1 publications · 24 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5