all InfoSec news
StyleFool: Fooling Video Classification Systems via Style Transfer. (arXiv:2203.16000v2 [cs.CV] UPDATED)
Dec. 6, 2022, 2:10 a.m. | Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen
cs.CR updates on arXiv.org arxiv.org
Video classification systems are vulnerable to adversarial attacks, which can
create severe security problems in video verification. Current black-box
attacks need a large number of queries to succeed, resulting in high
computational overhead in the process of attack. On the other hand, attacks
with restricted perturbations are ineffective against defenses such as
denoising or adversarial training. In this paper, we focus on unrestricted
perturbations and propose StyleFool, a black-box video adversarial attack via
style transfer to fool the video classification …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Technology Specialist II: Network Architect
@ Los Angeles County Employees Retirement Association (LACERA) | Pasadena, CA
Cybersecurity Skills Challenge -- Sponsored by DoD
@ Correlation One | United States
Security Operations Center (SOC) Analyst
@ GK Cybersecurity Group | Remote
Cyber Threat Defense - PAM Manager
@ PwC | Amsterdam - Thomas R. Malthusstraat 5
InfoSec Specialist
@ Deutsche Bank | Bucharest
DevSecOps Engineer
@ Swiss Re | Bengaluru, KA, IN