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相关概念视频

Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Attribution Theory00:56

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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
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Strategies for Assessing and Addressing Confounding01:25

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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通过基于统计归因的攻击来提高对抗性示例的可转移性.

Hegui Zhu1, Yanmeng Jia2, Yue Yan3

  • 1College of Sciences, Northeastern University, Shenyang, 110819, China; Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China.

Neural networks : the official journal of the International Neural Network Society
|March 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了基于统计归因的攻击 (SAA),以改进深度神经网络 (DNN) 漏洞分析. SAA通过完善特征重要性和优化目标来提高对抗性攻击的性能,以更好地评估强度.

关键词:
对抗性的例子.综合性的梯度渐变.功能级别的攻击攻击.统计归属统计归属可转让性 可转让性

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 机器学习安全 机器学习安全

背景情况:

  • 深度神经网络 (DNN) 容易受到对抗性攻击,这对于评估它们的稳定性至关重要.
  • 特征级攻击会破坏中间特征,但往往缺乏精确的特征意义指标,并可能限制可转移性.
  • 现有的方法在对抗性攻击中难以准确的特征重要性评估和优化目标.

研究的目的:

  • 引入一种新的基于统计归因的攻击 (SAA) 方法,以加强对DNN的对抗性攻击.
  • 改进特征重要性表示,完善优化目标,以获得更强大的攻击性能和稳定性评估.
  • 解决与当前功能级攻击相关的特征意义指标和可转移性的局限性.

主要方法:

  • 开发了基于统计归因的攻击 (SAA),专注于特征重要性和精细的优化.
  • 引入了区域智能特征干扰和梯度信息聚合,以计算全面梯度以获得准确的特征表示.
  • 采用基于统计归因的方法,使用各层的平均特征信息来实现更好的优化目标.

主要成果:

  • 与现有技术相比,SAA方法在对抗性攻击中表现优越.
  • 与第二个最佳方法相比,SAA使攻击成功率提高了9.3%.
  • 当与输入转换相结合时,SAA实现了79.2%的平均成功率,与八个领先的防御模型相比.

结论:

  • 拟议的SAA方法通过改进特征表示和优化,有效地提高对抗性攻击性能.
  • SAA提供了一种更强大的方法来发现DNN漏洞和评估模型稳定性.
  • 该方法显示了评估和提高深度学习模型安全性的巨大潜力.