Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles

Research output: Contribution to journal › Article

Original language	English
Journal	Center for Connected Multimodal Mobility, Clemson University
State	Published - 2024

Cite this

@article{02dbba7aee4142f8844aac6996f936e6,

title = "Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles",

author = "Pierluigi Pisu and Gurcan Comert and Chunheng Zhao and Negash Begashaw and others, \{Unknown First Name\}",

year = "2024",

language = "English",

journal = "Center for Connected Multimodal Mobility, Clemson University",

}

TY - JOUR

T1 - Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles

AU - Pisu, Pierluigi

AU - Comert, Gurcan

AU - Zhao, Chunheng

AU - Begashaw, Negash

AU - others, Unknown First Name

PY - 2024

Y1 - 2024

M3 - Article

JO - Center for Connected Multimodal Mobility, Clemson University

JF - Center for Connected Multimodal Mobility, Clemson University

ER -