AOHDL: Adversarial Optimized Hybrid Deep Learning Design for Preventing Attack in Radar Target Detection

In autonomous driving, Frequency-Modulated Continuous-Wave (FMCW) radar has gained widespread acceptance for target detection due to its resilience and dependability under diverse weather and illumination circumstances. Although deep learning radar target identification models have seen fast improve...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhammad Moin Akhtar, Yong Li, Wei Cheng, Limeng Dong, Yumei Tan, Langhuan Geng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-08-01
Sarja:	Remote Sensing
Aiheet:	RTD adversarial examples generative adversarial network (GAN) deep learning FMCW
Linkit:	https://www.mdpi.com/2072-4292/16/16/3109
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!