Feb. 16, 2024, 5:10 a.m. | Cameron Foreman, Richie Yeung, Alec Edgington, Florian J. Curchod

cs.CR updates on arXiv.org arxiv.org

arXiv:2402.09481v1 Announce Type: new
Abstract: We present Cryptomite, a Python library of randomness extractor implementations. The library offers a range of two-source, seeded and deterministic randomness extractors, together with parameter calculation modules, making it easy to use and suitable for a variety of applications. We also present theoretical results, including new extractor constructions and improvements to existing extractor parameters. The extractor implementations are efficient in practice and tolerate input sizes of up to $2^{40} > 10^{12}$ bits. They are also …

applications arxiv cs.cr easy library making modules parameter python python library quant-ph randomness results suitable

Social Engineer For Reverse Engineering Exploit Study

@ Independent study | Remote

Senior Software Engineer, Security

@ Niantic | Zürich, Switzerland

Consultant expert en sécurité des systèmes industriels (H/F)

@ Devoteam | Levallois-Perret, France

Cybersecurity Analyst

@ Bally's | Providence, Rhode Island, United States

Digital Trust Cyber Defense Executive

@ KPMG India | Gurgaon, Haryana, India

Program Manager - Cybersecurity Assessment Services

@ TestPros | Remote (and DMV), DC