OptiCloak: Blinding Vision-Based Autonomous Driving Systems Through Adversarial Optical Projection-Reference-Cited by-同舟云学术

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OptiCloak: Blinding Vision-Based Autonomous Driving Systems Through Adversarial Optical Projection

Published:2024-09-01 Issue:17 Volume:11 Page:28931-28944
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wen Huixiang¹^ORCID,Chang Shan¹^ORCID,Zhou Luo¹,Liu Wei²^ORCID,Zhu Hongzi³^ORCID

Affiliation:

1. School of Computer Science and Technology, Donghua University, Shanghai, China

2. School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, China

3. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10538370.pdf?arnumber=10538370

Reference39 articles.

1. HERO: Online Real-Time Vehicle Tracking

2. Synthesizing robust adversarial examples;Athalye

3. StyLess: Boosting the Transferability of Adversarial Examples

4. Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images

5. DARTS: Deceiving autonomous cars with toxic signs;Sitawarin;arXiv:1802.06430,2018

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