Attackers can extract private data by querying language models ^84%

Truth rate: 84%

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Attackers can extract private data by querying language models

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CS 194/294-196 (LLM Agents) - Lecture 12, Dawn Song

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Created at: Jan. 28, 2025, 6:10 a.m.
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Complex queries require powerful query languages to analyze big data ^86%

86%

Data science extracts knowledge from data ^80%

80%

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Complex data models require massive big data sets ^91%

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Cyber attackers may use breached data for future attacks ^80%

80%

Risk of data breaches and cyber attacks in big data storage ^49%

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Data analytics plays a crucial role in extracting insights from big data ^89%

89%

Secure and private data sharing is made possible through bridges ^88%

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Unauthorized access to private data can cause irreparable harm ^80%

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Few mobile apps respect users' private data ^85%

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Complexity of data models obscures insights ^89%

89%