Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Gradient and Del Operator01:14

Gradient and Del Operator

2.6K
In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
2.6K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Aliasing01:18

Aliasing

159
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
159
Blinding01:11

Blinding

2.5K
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.
2.5K
Masking and Demasking Agents01:19

Masking and Demasking Agents

2.5K
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...
2.5K
Reducing Line Loss01:18

Reducing Line Loss

173
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
173

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Exploring Core Symptoms and Symptom Clusters Among Older Adults with Hypertension-Diabetes Comorbidity: A Network Analysis.

Healthcare (Basel, Switzerland)·2026
Same author

Laparoscopic fundoplication with or without intraoperative endoscopy for gastroesophageal reflux disease: a propensity score-matched cohort study.

Scientific reports·2026
Same author

Exceptional CO<sub>2</sub> Hydrogenation to Gasoline Enabled by GaZrO<sub>x</sub>/Ga-ZSM-5 Tandem Catalyst.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Free-standing ultrathin two-dimensional peptide crystals.

Nature chemistry·2026
Same author

Targeting SCAMP2 by a natural product auxarconjugatin B for glioblastoma therapy <i>via</i> restoring aspartate metabolic flux.

Acta pharmaceutica Sinica. B·2026
Same author

Case Report and retrospective literature analysis of pediatric lower esophageal squamous cell carcinoma: focus on diagnostic challenges and therapeutic strategies.

Frontiers in pediatrics·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 2025

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
08:45

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

9.2K

注意力分散与梯度利用于多任务对抗性攻击的注意力分散.

Bingyu Liu1, Jiani Hu1, Weihong Deng1

  • 1Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Mathematical biosciences and engineering : MBE
|September 7, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的多任务对抗性攻击方法,以提高深度神经网络 (DNN) 的安全性. 该技术增强了跨多个任务的对抗性示例概括性,优于单任务攻击.

关键词:
敌对攻击是对抗性的攻击.注意力热图注意力热图深度学习是一种深度学习.渐变编辑 渐变编辑多任务处理能力.

更多相关视频

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

8.9K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

相关实验视频

Last Updated: Jul 17, 2025

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
08:45

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

9.2K
Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

8.9K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

科学领域:

  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 深度神经网络 (DNN) 在视觉任务中表现出色,但容易受到对抗的例子的影响.
  • 现有的对抗性攻击主要集中在单任务场景上,限制了它们在多任务学习系统中的有效性.
  • 多任务系统需要利用共享知识并最大限度地减少任务特定干扰的对抗性示例.

研究的目的:

  • 为深度学习模型开发多任务对抗性攻击方法.
  • 创建有效地在多个任务中概括的对抗性示例.
  • 为了提高多任务学习网络的攻击性能.

主要方法:

  • 提出了一种多任务的对抗性攻击,利用注意力分散和梯度利.
  • 攻击注意力热图以利用概括信息.
  • 采用渐变利来优先考虑多任务信息而不是特定任务的细节.

主要成果:

  • 拟议的方法提高了对多个任务的对抗性示例的概括能力.
  • 与多任务网络上的单任务对抗性攻击相比,显示出更高的攻击性能.
  • 用NYUD-V2和PASCAL数据集进行的实验验证.

结论:

  • 新的多任务对抗性攻击有效地增强了对抗性示例的概括.
  • 这种方法为人工智能系统提供了更强大的防御策略,可以同时处理多个任务.
  • 未来的工作可能会探索多任务对抗性强度的进一步优化.