Advances in Cryptology — EUROCRYPT ’93
By T. Helleseth. Lecture Notes in Computer Science, 2001
628 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/dc5c009fd65a70147b947dc07db28c79c810d916
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Xiongfeng Ma
- Hoi-Kwong Lo
- Bing Qi
- Momtchil Peev
- Nicolas J. Cerf
- Yi Zhao
- Norbert Lutkenhaus
- Miloslav Dusek
In Computer Vision and Pattern Recognition
- Miloslav Dusek
- H. Bechmann-Pasquinucci
- Hoi-Kwong Lo
- Nicolas J. Cerf
- Gerd Leuchs
- Norbert Lutkenhaus
- Valerio Scarani
- Sellami Ali
In Information Systems
- Miloslav Dusek
- H. Bechmann-Pasquinucci
- Hoi-Kwong Lo
- Nicolas J. Cerf
- Gerd Leuchs
- Norbert Lutkenhaus
- Valerio Scarani
- Sellami Ali
Citations in the corpus
- Alternative schemes for measurement-device-independent quantum key distribution (2012, neutral): “g, [49]; normally, f ≥ 1 with the Shannon limit of f = 1); and H(x) is the binary entropy function, H(x) = −x log2(x) − (1 − x) log2(1 − x).”
- Practical decoy state for quantum key distribution (15 pages) (2005, background): “22, which is the upper bound of f(e) in secure distance for this experiment [13].”
- Continuous variable quantum cryptography: beating the 3 dB loss limit. (2002, methodology): “In order to extract a secure key out of the material with the usual privacy amplification tools [7] and a free choice of the required error correction technique, including the efficient two-way schemes [8], however, the mutual information IAB between Alice and Bob has to exceed the information that ”
- DECOY STATE QUANTUM KEY DISTRIBUTION (2010, background): “KEYWORDS : Quantum Cryptography, Quantum Key Distribution, Decoy State Protocol, Optical Communications”