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相关概念视频

Associative Learning01:27

Associative Learning

2.1K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

2.6K
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
2.6K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

4.2K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
4.2K
Purposive Learning01:22

Purposive Learning

693
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
693
Observational Learning01:12

Observational Learning

1.5K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.5K
Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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相关实验视频

Updated: May 3, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

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红色警报:在持续学习中可控制的后门攻击.

Rui Gao1, Weiwei Liu1

  • 1The School of Computer Science, Wuhan University, Wuhan, 43000, China.

Neural networks : the official journal of the International Neural Network Society
|April 27, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个可控制的后门攻击机制,用于持续学习 (CL) 系统. 它通过探索攻击者策略和提出针对数据中毒的新型防御来解决CL中的安全漏洞.

关键词:
后门攻击后门攻击持续的学习 持续的学习终身学习是一项终身学习.

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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相关实验视频

Last Updated: May 3, 2026

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08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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科学领域:

  • 人工智能的人工智能
  • 机器学习安全 机器学习安全
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 持续学习 (CL) 训练模型进行连续的任务,面临灾难性的遗忘.
  • 安全漏洞,特别是后门攻击,在CL中没有得到充分的探索.
  • 现有的CL研究主要侧重于减轻性能恶化,而不是安全威胁.

研究的目的:

  • 在持续学习中调查后门攻击所带来的安全挑战.
  • 在CL环境中为攻击者定义威胁模型.
  • 提出一种新的,可控制的后门攻击机制,用于CL.

主要方法:

  • 持续学习中的后门攻击威胁模型的开发.
  • 设计一种可控制的后门攻击机制,命名为CBACL.
  • 在基准数据集上对CBACL的实证评估,如Split CIFAR和Tiny Imagenet.

主要成果:

  • 拟议的CBACL机制在启动可控制的后门攻击方面表现出有效性.
  • 实验结果验证了CBACL方法的可行性和优势.
  • 该研究提供了对攻击者能力和CL安全方面的挑战的见解.

结论:

  • 后门攻击在持续学习环境中构成重大安全威胁.
  • 开发的CBACL机制为了解CL特定攻击提供了一个新的工具,并可能对此进行防御.
  • 需要进一步的研究,以开发强大的防御,以应对这种复杂的安全威胁在CL.