A background-attentive, hardware-aware adversarial training method restores real-time object detection FPS under latency attacks on edge, desktop, and cloud GPUs.
Under- standing robustness of transformers for image classification
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
A background-attentive, hardware-aware adversarial training method restores real-time object detection FPS under latency attacks on edge, desktop, and cloud GPUs.