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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
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...
Veins01:17

Veins

Veins are an integral part of our circulatory system, serving as the blood vessels that transport blood from all body regions to the heart. They are a network of hollow tubes that carry blood low in oxygen from the body's cells back to the heart for reoxygenation. Veins are crucial for maintaining the body's overall fluid balance and the continuous circulation of blood.
Structure of Veins:
The structure of veins is specifically designed to assist in the low-pressure transportation of blood...
Veins as Blood Reservoirs01:10

Veins as Blood Reservoirs

Veins, while chiefly responsible for circulating blood back to the heart, also function as storage vessels for blood. They house approximately 64 percent of the body's total blood volume, a feat made possible by their high capacitance—the inherent ability to expand and accommodate large volumes of blood, even under low pressure. The large diameter and thin walls of veins augment their distensibility, significantly more so than arteries, due to their classification as capacitance vessels. When...
Veins of Upper Limbs01:17

Veins of Upper Limbs

The human circulatory system, a marvel of biological engineering, is a complex network of vessels that transport blood throughout the body. Among these, the veins responsible for carrying blood from the upper limbs are divided into two categories: deep and superficial.
The deep venous system is primarily composed of the ulnar and radial veins. The ulnar vein, which drains the fingers through the superficial palmar venous arches, and the radial vein, which serves the palms via the deep palmar...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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相关实验视频

Updated: May 12, 2026

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
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解视觉和身份特征,用于对抗手掌脉图像攻击.

Jiacheng Yang1, Wai Keung Wong2, Lunke Fei1

  • 1The School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China.

Neural networks : the official journal of the International Neural Network Society
|September 20, 2024
PubMed
概括

这项研究引入了一种新的网络,用于创建看起来真实的但身份改变的对抗性手掌静脉图像. 这项研究解决了手掌静脉识别系统对复杂图像攻击的漏洞.

关键词:
敌对的攻击是敌对的攻击.一个黑盒子.以发电机为导向的发电机.手掌静脉图像 - 手掌静脉图像一个白色的盒子.

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科学领域:

  • 生物识别信息 生物识别信息
  • 计算机视觉 计算机视觉
  • 网络安全 网络安全

背景情况:

  • 掌脉生物识别提供高安全性,防止盗窃和伪造.
  • 现有的手掌静脉识别系统容易受到对抗图像攻击.
  • 之前没有任何研究专门关注对手掌静脉图像的对抗性攻击.

研究的目的:

  • 提出一种新的对抗性手掌静脉图像攻击网络.
  • 为了生成具有对抗性的手掌静脉图像,在改变身份的同时保持视觉相似性.
  • 为了提高手掌静脉识别系统的安全稳定性.

主要方法:

  • 开发了一个敌对的手掌脉图像攻击网络.
  • 采用了多尺度的高维浅表示映射.
  • 使用基于注意力的双路特征学习模块.
  • 设计了用于特征脱的视觉一致性和身份意识损失功能.

主要成果:

  • 产生了与原始样本具有很高视觉相似性的对抗手掌静脉图像.
  • 成功地在生成的图像中改变了手掌身份信息.
  • 通过对三个数据库进行广泛的白盒和黑盒攻击实验,证明了有效性.

结论:

  • 拟议的网络有效地产生了积极的对抗性手掌静脉样本.
  • 该方法保留视觉特征,同时删除身份信息.
  • 这项工作突出了当前手掌静脉识别技术中的关键安全漏洞.