all InfoSec news
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications. (arXiv:2208.09245v1 [cs.CR])
Aug. 22, 2022, 1:20 a.m. | Tze-Yang Tung, Deniz Gunduz
cs.CR updates on arXiv.org arxiv.org
Deep learning driven joint source-channel coding (JSCC) for wireless image or
video transmission, also called DeepJSCC, has been a topic of interest recently
with very promising results. The idea is to map similar source samples to
nearby points in the channel input space such that, despite the noise
introduced by the channel, the input can be recovered with minimal distortion.
In DeepJSCC, this is achieved by an autoencoder architecture with a
non-trainable channel layer between the encoder and decoder. DeepJSCC …
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
Security Officer Hospital Mission Viejo
@ Allied Universal | Mission Viejo, CA, United States
Junior Offensive Cyber Security Researcher
@ Draper | Cambridge, MA, United States
Consultant reporting reglementaire
@ Talan | Luxembourg, Luxembourg
Chief Information Security Officer
@ Kantox | Barcelona, Catalonia, Spain