Randomness Extraction
Randomness Extraction is a deterministic algorithm in symmetric-key cryptography that belongs to the class of randomness processing techniques, distinguished by its ability to transform a weakly random source with partial unpredictability into a uniformly distributed output sequence suitable for cryptographic applications such as stream cipher initialization.
278
Publications
16.7K
Citations
694
Authors
314
Institutions
Publications per year
2017–2026
87
278
1–5 of 278
694
11
h-index
8
h-index
7
h-index
7
h-index
6
h-index
1–5 of 694
314
National University of Singapore
Singapore, Singapore
13 h-index
29 publications
2.6K citations
Centre for Quantum Technologies
Singapore, Singapore
12 h-index
27 publications
2.4K citations
The University of Texas at Austin
Austin, United States
11 h-index
15 publications
1.4K citations

Institute for Advanced Study
Princeton, United States
9 h-index
13 publications
918 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
21 publications
557 citations
University of Science and Technology of China
Hefei, China
7 h-index
28 publications
2.1K citations

Weizmann Institute of Science
Rehovot, Israel
7 h-index
15 publications
830 citations
Tsinghua University
Beijing, China
6 h-index
21 publications
948 citations
1–8 of 314
PRA · 7 publications · 493 citations
7
h-index
7 publications · 2.2K citations
7
h-index
7 publications · 484 citations
7
h-index
Repository · 6 publications · 123 citations
6
h-index
PRL · 6 publications · 362 citations
6
h-index
1–5