针对深度神经网络的光学对抗实例综述

2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS) Pub Date : 2022-10-28 DOI:10.1109/DOCS55193.2022.9967715

Haiyan Li, B. Bai, Geyang Xiao

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引用次数: 0

摘要

对抗性攻击一直影响着人工智能的安全性。近年来，一种新型的非侵入性对抗性攻击以其灵活性和可执行性成为研究热点，引起了人们的极大兴趣。本文对这种对抗性攻击的四种类型进行了详细的分析和讨论:摄像机高频光、激光、投影仪和自然光阴影。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Survey on Optical Adversarial Examples Against DNNs

Adversarial attack always affects the security of artificial intelligence. In recent years, a new type of non-invasive adversarial attack becomes very popular among the studies for its flexibility and excubility, and this paper has generated great interest in it. In this paper, four types of this kind of adversarial attack are analyzed and discussed in detail: camera high-frequency light, laser, projector and natural light shadow.

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2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)

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