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20202025
most citedStatistical testing of random number generators and their improvement using randomness extraction

18 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Certified randomness amplification by dynamically probing remote random quantum states

Minzhao Liu, Pradeep Niroula, Matthew DeCross +49

Cryptography depends on truly unpredictable numbers, but physical sources emit biased or correlated bits. Quantum mechanics enables the amplification of imperfect randomness into n…

cs.CR2025

An efficient construction of Raz's two-source randomness extractor with improved parameters

Cameron Foreman, Lewis Wooltorton, Kevin Milner +1

Randomness extractors are algorithms that distill weak random sources into near-perfect random numbers. Two-source extractors enable this distillation process by combining two inde…

cs.CR2024★ 18 cited

Statistical testing of random number generators and their improvement using randomness extraction

Cameron Foreman, Richie Yeung, Florian J. Curchod

Random number generators (RNGs) are notoriously challenging to build and test, especially for cryptographic applications. While statistical tests cannot definitively guarantee an R…

cs.CR2024★ 6 cited

Cryptomite: A versatile and user-friendly library of randomness extractors

Cameron Foreman, Richie Yeung, Alec Edgington +1

We present Cryptomite, a Python library of randomness extractor implementations. The library offers a range of two-source, seeded and deterministic randomness extractors, together…

quant-ph2020★ 14 cited

Practical randomness amplification and privatisation with implementations on quantum computers

Cameron Foreman, Sherilyn Wright, Alec Edgington +2

We present an end-to-end and practical randomness amplification and privatisation protocol based on Bell tests. This allows the building of device-independent random number generat…