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    <title>InfoQ - Differential Privacy</title>
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    <description>InfoQ Differential Privacy feed</description>
    <item>
      <title>Google Introduces VaultGemma: An Experimental Differentially Private LLM</title>
      <link>https://www.infoq.com/news/2025/09/google-differential-privacy-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Differential+Privacy</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/09/google-differential-privacy-llm/en/headerimage/gemma-3n-architecture-1758820807365.jpeg"/&gt;&lt;p&gt;VaultGemma is a 1B-parameter Gemma 2-based LLM that Google trained from scratch using differential privacy (DP) with the aim of preventing the model from memorizing and later regurgitating training data. While still a research model, VaultGemma could enable applications cases in healthcare, finance, legal, and other regulated sectors.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Data Privacy</category>
      <category>Google</category>
      <category>Large language models</category>
      <category>Differential Privacy</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 25 Sep 2025 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/09/google-differential-privacy-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Differential+Privacy</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2025-09-25T18:00:00Z</dc:date>
      <dc:identifier>/news/2025/09/google-differential-privacy-llm/en</dc:identifier>
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