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相关概念视频

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Blinding01:11

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
Masking and Demasking Agents01:19

Masking and Demasking Agents

EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...

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相关实验视频

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Two-photon Calcium Imaging in Mice Navigating a Virtual Reality Environment
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隐形CMOS摄像头眼,用于对深度神经网络进行对抗性攻击.

Zvi Stein1, Adir Hazan1, Adrian Stern1

  • 1School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

研究人员开发了一种新的看不见的光学攻击,通过使CMOS摄像头眼,欺骗深度神经网络 (DNN). 这种物理对抗性攻击利用相机快门机制来破坏图像而无需人类检测.

科学领域:

  • 计算机视觉 计算机视觉
  • 网络安全 网络安全
  • 光学是什么?光学是什么?光学是什么?

背景情况:

  • 深度神经网络 (DNN) 在性能方面表现出色,但容易受到对抗性攻击.
  • 现有的物理对抗性攻击往往是人类可视检测的.
  • 物理系统中的漏洞构成重大网络安全风险.

研究的目的:

  • 引入一种新的,看不见的基于光学的物理对抗性攻击,针对CMOS摄像头.
  • 分析必要的条件,使攻击对人眼不可察觉,但对DNNs有效.
  • 调查光源参数与攻击效率之间的关系.

主要方法:

  • 为光学攻击设计特定的光脉冲序列.
  • 利用相机的快门机制在空间上转换图像中的光脉冲.
  • 分析可见性和图像破坏的光学条件.
  • 在不同的光源工作周期下对DNN的攻击成功率的评估.

主要成果:

  • 在CMOS摄像头上展示了一个看不见的基于光学的物理对抗性攻击.
  • 确定了最佳的光学条件,使攻击无法被人类发现.
  • 展示了使用拟议的方法欺骗DNN的能力.
关键词:
这是一个CMOS系统.这些是PSF.敌对攻击是对抗性的攻击.滚动的快门关

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  • 量化了基于光源工作周期的攻击成功和隐藏之间的权衡.

    • 结论:

    • 拟议的隐形光学攻击是欺骗物理世界DNN的一种可行的方法.
    • 控制光源工作周期对于平衡攻击有效性和隐形性至关重要.
    • 这项研究突出了基于摄像头的AI系统的新物理漏洞.