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
WAVES: Benchmarking the Robustness of Image Watermarks
15 minutes ago |
arxiv.org
MOAT: Towards Safe BPF Kernel Extension
15 minutes ago |
arxiv.org
Jobs in InfoSec / Cybersecurity
CyberSOC Technical Lead
@ Integrity360 | Sandyford, Dublin, Ireland
Cyber Security Strategy Consultant
@ Capco | New York City
Cyber Security Senior Consultant
@ Capco | Chicago, IL
Senior Security Researcher - Linux MacOS EDR (Cortex)
@ Palo Alto Networks | Tel Aviv-Yafo, Israel
Sr. Manager, NetSec GTM Programs
@ Palo Alto Networks | Santa Clara, CA, United States
SOC Analyst I
@ Fortress Security Risk Management | Cleveland, OH, United States