all InfoSec news
Dataset Distillation for Medical Dataset Sharing. (arXiv:2209.14603v2 [cs.CR] UPDATED)
Oct. 3, 2022, 1:20 a.m. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
cs.CR updates on arXiv.org arxiv.org
Sharing medical datasets between hospitals is challenging because of the
privacy-protection problem and the massive cost of transmitting and storing
many high-resolution medical images. However, dataset distillation can
synthesize a small dataset such that models trained on it achieve comparable
performance with the original large dataset, which shows potential for solving
the existing medical sharing problems. Hence, this paper proposes a novel
dataset distillation-based method for medical dataset sharing. Experimental
results on a COVID-19 chest X-ray image dataset show that …
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 Engineer, Incident Response
@ Databricks | Remote - Netherlands
Associate Vulnerability Engineer - Mid-Atlantic region (Part-Time)
@ GuidePoint Security LLC | Remote in VA, MD, PA, NC, DE, NJ, or DC
Data Security Architect
@ Accenture Federal Services | Washington, DC
Identity Security Administrator
@ SailPoint | Pune, India