all InfoSec news
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. (arXiv:2202.07464v1 [cs.LG])
Feb. 16, 2022, 2:20 a.m. | Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng
cs.CR updates on arXiv.org arxiv.org
Despite impressive capabilities and outstanding performance, deep neural
network(DNN) has captured increasing public concern for its security problem,
due to frequent occurrence of erroneous behaviors. Therefore, it is necessary
to conduct systematically testing before its deployment to real-world
applications. Existing testing methods have provided fine-grained criteria
based on neuron coverage and reached high exploratory degree of testing. But
there is still a gap between the neuron coverage and model's robustness
evaluation. To bridge the gap, we observed that neurons which …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Information Security Engineers
@ D. E. Shaw Research | New York City
Security Solution Architect
@ Civica | London, England, United Kingdom
Information Security Officer (80-100%)
@ SIX Group | Zurich, CH
Cloud Information Systems Security Engineer
@ Analytic Solutions Group | Chantilly, Virginia, United States
SRE Engineer & Security Software Administrator
@ Talan | Mexico City, Spain