all InfoSec news
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
April 2, 2024, 7:12 p.m. | Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu
cs.CR updates on arXiv.org arxiv.org
Abstract: Video recognition systems are vulnerable to adversarial examples. Recent studies show that style transfer-based and patch-based unrestricted perturbations can effectively improve attack efficiency. These attacks, however, face two main challenges: 1) Adding large stylized perturbations to all pixels reduces the naturalness of the video and such perturbations can be easily detected. 2) Patch-based video attacks are not extensible to targeted attacks due to the limited search space of reinforcement learning that has been widely used …
adversarial arxiv attack attacks can challenges cs.cr cs.cv effectively efficiency examples large logo main patch recognition studies systems transfer video vulnerable
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Security Engineers
@ D. E. Shaw Research | New York City
Technology Security Analyst
@ Halton Region | Oakville, Ontario, Canada
Senior Cyber Security Analyst
@ Valley Water | San Jose, CA
COMM Penetration Tester (PenTest-2), Chantilly, VA OS&CI Job #368
@ Allen Integrated Solutions | Chantilly, Virginia, United States
Consultant Sécurité SI H/F Gouvernance - Risques - Conformité
@ Hifield | Sèvres, France
Infrastructure Consultant
@ Telefonica Tech | Belfast, United Kingdom