Attack Anything: Blind DNNs via Universal Background Adversarial Attack
It has been widely substantiated that deep neural networks (DNNs) are susceptible and
vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks …
vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks …
KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems
To ensure the reliability of cloud systems, their run-time status reflecting the service quality is
periodically monitored with monitoring metrics, ie, KPIs (key performance indicators). When …
periodically monitored with monitoring metrics, ie, KPIs (key performance indicators). When …
[PDF][PDF] TPAM: Transferable Perceptual-constrained Adversarial Meshes
Triangle meshes are widely used in 3D data representation due to their efficacy in capturing
complex surfaces. Mesh classification, crucial in various applications, has typically been …
complex surfaces. Mesh classification, crucial in various applications, has typically been …