Extractors and pseudorandom generators
By Luca Trevisan. JACM, 2001
352 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/ca73bec3f9b1a483c64ccb51e8dd154fe87fbd42
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In Artificial Intelligence
- Renato Renner
- Marco Tomamichel
- Juan Carlos García-Escartín
- Miguel Herrero-Collantes
- Xiongfeng Ma
- Roger Colbeck
- Bing Qi
- Adrian Kent
Citations in the corpus
- Leftover Hashing Against Quantum Side Information (2010, methodology): “However, to achieve even shorter seed lengths, more advanced techniques such as Trevisan’s extractor [23] have been studied in [24]–[26].”
- Free randomness can be amplified (2011, methodology): “Using Trevisan’s extractor [25, 26], for example, in the first case we could generate random bits at the entropy rate of the partially free source.”
- Quantum random number generators (2016, background): “A first notable result is the Trevisan extractor (Trevisan, 2001), an explicit construction which has some”
- Private randomness expansion with untrusted devices (2010, methodology): “In particular, privacy amplification schemes based on Trevisan’s extractor [30] have recently been shown to be secure even when the information E is quantum, and in general require a shorter seed than schemes using two-universal hash functions [31].”
- Quantum random number generation (2015, background): “Trevisan’s extractor 97,98 has been proven secure against quantum adversaries 99 .”