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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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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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相关实验视频

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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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剥削隐私 保护在线大型语言模型使用的快速技术

Youxiang Zhu1, Ning Gao1, Xiaohui Liang1

  • 1Department of Computer Science, University of Massachusetts Boston, MA, USA.

... IEEE Global Communications Conference. IEEE Global Communications Conference
|September 18, 2025
PubMed
概括

一个新的本地隐私保护提示助手 (LPPA) 帮助用户在在线大型语言模型 (LLM) 提示中保护敏感信息. LPPA修改提示以保护隐私,同时保持LLM输出实用程序.

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 网络安全 网络安全

背景情况:

  • 在线大型语言模型 (LLM) 越来越多地用于财务咨询等敏感任务.
  • 直接向LLM服务器快速提交可能会暴露私人数据并使用户配置文件.
  • 现有的方法缺乏有效的用户控制的隐私保护机制,用于LLM交互.

研究的目的:

  • 引入一个本地隐私保护快速助手 (LPPA),以平衡快速隐私和LLM输出实用程序.
  • 开发用于识别和缓解用户提示符中的敏感关键字的方法.
  • 让用户能够保护敏感信息,而不会影响LLM产生的内容的有用性.

主要方法:

  • 提出了一个隐私模块来检测提示符中的敏感关键字.
  • 实施了四种隐私技术:删除,掩盖,替换和重写以获得关键字保护.
  • 开发了一种实用推断模型,以预测即时修改对本地LLM输出质量的影响.
  • 通过使用真实世界的用户提示来评估LPPA系统.

主要成果:

  • "删除"技术在保护隐私方面表现出最高的性能.
  • 该LPPA有效地识别敏感的关键词,并建议立即修改.
关键词:
保护隐私的技术 保护隐私的技术大型语言模型.在线和离线在线和离线.

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  • 实用性推断模型准确地预测了快速变化的对LLM输出的影响.
  • 用户可以调整提示以提高隐私,同时保持令人满意的LLM实用程序.

    • 结论:

    • 当地隐私保护快速助理 (LPPA) 提供了一种实用的解决方案,可以通过在线LLMs来增强用户隐私.
    • 快速修改技术,特别是删除,在保护敏感数据方面是有效的.
    • LPPA使用户能够控制他们的数据隐私,而不会显著地损失LLM的功能.