all InfoSec news
Invisible Backdoor Attack Through Singular Value Decomposition
March 21, 2024, 4:10 a.m. | Wenmin Chen, Xiaowei Xu
cs.CR updates on arXiv.org arxiv.org
Abstract: With the widespread application of deep learning across various domains, concerns about its security have grown significantly. Among these, backdoor attacks pose a serious security threat to deep neural networks (DNNs). In recent years, backdoor attacks on neural networks have become increasingly sophisticated, aiming to compromise the security and trustworthiness of models by implanting hidden, unauthorized functionalities or triggers, leading to misleading predictions or behaviors. To make triggers less perceptible and imperceptible, various invisible backdoor …
application arxiv attack attacks backdoor backdoor attack backdoor attacks compromise cs.ai cs.cr cs.lg deep learning domains networks neural networks security security threat serious serious security threat value
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Social Engineer For Reverse Engineering Exploit Study
@ Independent study | Remote
Security Engineer II- Full stack Java with React
@ JPMorgan Chase & Co. | Hyderabad, Telangana, India
Cybersecurity SecOps
@ GFT Technologies | Mexico City, MX, 11850
Senior Information Security Advisor
@ Sun Life | Sun Life Toronto One York
Contract Special Security Officer (CSSO) - Top Secret Clearance
@ SpaceX | Hawthorne, CA
Early Career Cyber Security Operations Center (SOC) Analyst
@ State Street | Quincy, Massachusetts