Universally Composable Privacy Amplification Against Quantum Adversaries
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The composable extractor was first introduced in classical cryptography and later extended to quantum cryptography.
“The composable extractor was fi rst introduced in classical cryptography, 93,94 and it was later extended to quantum cryptography. 95,96”
From Quantum random number generation (2016) · cites this paper as [96]
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References 30 · Cited by 337
- Authors
- Renner, R., & König, R.
- Affiliations
- ETH Zurich (CH)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 407-425
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2114805880
- Cited by
- 337
- References
- 30
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 10 · 2023: 12 · 2022: 15 · 2021: 20 · 2020: 15 · 2019: 19 · 2018: 12 · 2017: 14 · 2016: 17 · 2015: 22 · 2014: 25 · 2013: 16 · 2012: 15
- FWCI
- 9.64
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (66716)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
- Keywords
- privacy amplification, universally composable security, quantum adversaries, key extraction, quantum key distribution, quantum cryptography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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