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相关概念视频

Masking and Demasking Agents01:19

Masking and Demasking Agents

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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...
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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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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...
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States of Water01:23

States of Water

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Water exists in any one of the three classical states: solid (ice), liquid (water), and gas (steam or water vapor). The state of water depends on i) the intermolecular forces that draw molecules together and ii) the kinetic energy that leads to movements that pull them apart.
Water freezes when the intermolecular forces are greater than the kinetic energy. Unlike most other substances, water is less dense in its solid state than in its liquid state. This is because each water molecule can form...
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Force Classification01:22

Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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在联合学习中隐藏类客户端水印.

Weitong Chen1,2, Chi Zhang1,2, Wei Zhang1,2

  • 1School of Information Engineering, Yangzhou University, Yangzhou 225009, China.

Entropy (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究引入了客户端水标计划,以保护联合学习模型免受泄漏. 该方法增强了模型的版权保护和对攻击的稳定性,实现了100%的水印检测率.

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 机器学习

背景情况:

  • 联合学习 (FL) 提供隐私优势,但面临来自参与者的模型泄露风险.
  • 保护FL的知识产权和模型完整性至关重要,特别是对不可靠的客户来说.

研究的目的:

  • 为联合学习提出一个强大的客户端水标计划.
  • 保护模型版权和增强水印安全,防止未经授权的访问和攻击.

主要方法:

  • 通过向客户端模型的输出层添加水标类,引入了一个N+1类分类器.
  • 使用水标和本地数据集训练本地模型,在本地存储水标参数.
  • 在服务器上传之前放大了水标参数,并在聚合后反复更新它们.

主要成果:

  • 在使用VGG-16和ResNet-18的MNIST,CIFAR-100和CIFAR-10数据集上实现了100%的水印检测率.
  • 证明对整体模型性能的影响最小.
  • 展现出强大的强度,抵御剪裁和微调攻击.

结论:

  • 拟议的客户端水标计划有效地保护联合学习模型.
关键词:
联合学习的联合学习保护知识产权的知识产权保护模型水印的模型水印.水标级别的水标类.

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  • 该方法可以提高模型的版权安全性,而不会影响性能或稳定性.