all InfoSec news
Secure Coding via Gaussian Random Fields. (arXiv:2205.08782v1 [cs.IT])
May 19, 2022, 1:20 a.m. | Ali Bereyhi, Bruno Loureiro, Florent Krzakala, Ralf R. Müller, Hermann Schulz-Baldes
cs.CR updates on arXiv.org arxiv.org
Inverse probability problems whose generative models are given by strictly
nonlinear Gaussian random fields show the all-or-nothing behavior: There exists
a critical rate at which Bayesian inference exhibits a phase transition. Below
this rate, the optimal Bayesian estimator recovers the data perfectly, and
above it the recovered data becomes uncorrelated. This study uses the replica
method from the theory of spin glasses to show that this critical rate is the
channel capacity. This interesting finding has a particular application to …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Information Security Engineers
@ D. E. Shaw Research | New York City
Information Systems Security Officer (ISSO), Junior
@ Dark Wolf Solutions | Remote / Dark Wolf Locations
Cloud Security Engineer
@ ManTech | REMT - Remote Worker Location
SAP Security & GRC Consultant
@ NTT DATA | HYDERABAD, TG, IN
Security Engineer 2 - Adversary Simulation Operations
@ Datadog | New York City, USA