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Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations

Year: 2021

Type: conference-paper

Source: USENIX Security Symposium

Authors: Pengfei Jing, Qiyi Tang, Yuefeng Du, Lei Xue, Xiapu Luo, Ting Wang, Sen Nie, Shi Wu

Institutions: Hong Kong Polytechnic University, Tencent (China)

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3159221896

FWCI: 2.914

Cites: 22

Cited by: 34

Related to: 10