Helper Data Algorithms
Helper Data Algorithms is a methodological framework in the field of physical unclonable functions that generates stable, reproducible cryptographic keys from noisy hardware-intrinsic physical characteristics by employing error correction and privacy-preserving techniques to mitigate intra-device variation while securing against adversarial reconstruction.
22
Publications
1.8K
Citations
56
Authors
27
Institutions
Publications per year
2017–2026
4
Variants
Helper Data Schemes
22
Securing Fingerprint Template: Fuzzy Vault with Helper Data
Umut Uludağ, Anil K. Jain · 2006 · 232 citations
A soft decision helper data algorithm for SRAM PUFs
Roel Maes, Pim Tuyls, Ingrid Verbauwhede · 2009 · 176 citations
Face Recognition with Renewable and Privacy Preserving Binary Templates
T.A.M. Kevenaar, Geert-Jan Schrijen, M. van der Veen et al. · 2006 · 145 citations
1–5 of 22
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1–5 of 56
27
KU Leuven
Leuven, Belgium
5 h-index
10 publications
1.1K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
8 publications
243 citations
iMinds
Ghent, Belgium
3 h-index
6 publications
618 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
1.6K citations
Philips (Netherlands)
Amsterdam, The Netherlands
2 h-index
8 publications
652 citations
Technical University of Munich
Munich, Germany
1 h-index
2 publications
38 citations
Philips (United States)
Andover, United States
1 h-index
4 publications
580 citations
Hubei University of Technology
Wuhan, China
1 h-index
5 publications
135 citations
1–8 of 27
2 publications · 564 citations
2
h-index
Conference · 2 publications · 37 citations
2
h-index
1 publications · 272 citations
1
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TCHES · 1 publications · 19 citations
1
h-index
1 publications · 27 citations
1
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1–5