all InfoSec news
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach. (arXiv:2208.08569v1 [cs.CR])
Aug. 19, 2022, 1:20 a.m. | Tong Zhou, Shaolei Ren, Xiaolin Xu
cs.CR updates on arXiv.org arxiv.org
Malicious architecture extraction has been emerging as a crucial concern for
deep neural network (DNN) security. As a defense, architecture obfuscation is
proposed to remap the victim DNN to a different architecture. Nonetheless, we
observe that, with only extracting an obfuscated DNN architecture, the
adversary can still retrain a substitute model with high performance (e.g.,
accuracy), rendering the obfuscation techniques ineffective. To mitigate this
under-explored vulnerability, we propose ObfuNAS, which converts the DNN
architecture obfuscation into a neural architecture search …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Cybersecurity Skills Challenge -- Sponsored by DoD
@ Correlation One | United States
Security Operations Center (SOC) Analyst
@ GK Cybersecurity Group | Remote
Azure Security Architect
@ First Quality | Remote US - Eastern or Central Timezone
Senior Security Engineer
@ LRQA | Birmingham, GB, B37 7ES
Product Security Intern
@ Sinch | Chicago, Illinois, United States
Cyber Support Engineer
@ Darktrace | New York