all InfoSec news
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens. (arXiv:2206.03891v1 [cs.CV])
June 9, 2022, 1:20 a.m. | Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
cs.CR updates on arXiv.org arxiv.org
The accelerated use of digital cameras prompts an increasing concern about
privacy and security, particularly in applications such as action recognition.
In this paper, we propose an optimizing framework to provide robust visual
privacy protection along the human action recognition pipeline. Our framework
parameterizes the camera lens to successfully degrade the quality of the videos
to inhibit privacy attributes and protect against adversarial attacks while
maintaining relevant features for activity recognition. We validate our
approach with extensive simulations and hardware …
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
Cybersecurity Triage Analyst
@ Peraton | Linthicum, MD, United States
Associate DevSecOps Engineer
@ LinQuest | Los Angeles, California, United States
DORA Compliance Program Manager
@ Resillion | Brussels, Belgium
Head of Workplace Risk and Compliance
@ Wise | London, United Kingdom