Adversarial robustness improvement for deep neural networks
Sign Up to like & getrecommendations! Published in 2024 at "Machine Vision and Applications"
DOI: 10.1007/s00138-024-01519-1
Abstract: Deep neural networks (DNNs) are key components for the implementation of autonomy in systems that operate in highly complex and unpredictable environments (self-driving cars, smart traffic systems, smart manufacturing, etc.). It is well known that… read more here.
Keywords: robustness improvement; robustness; deep neural; neural networks ... See more keywords