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    <title>PyPI recent updates for anomed-deanonymizer</title>
    <link>https://pypi.org/project/anomed-deanonymizer/</link>
    <description>Recent updates to the Python Package Index for anomed-deanonymizer</description>
    <language>en</language>    <item>
      <title>0.0.11</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.11/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Thu, 06 Mar 2025 14:31:41 GMT</pubDate>
    </item>    <item>
      <title>0.0.10</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.10/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Fri, 14 Feb 2025 09:59:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.9/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Fri, 07 Feb 2025 08:36:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.8/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Wed, 05 Feb 2025 18:21:28 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.7/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Tue, 28 Jan 2025 11:24:01 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.6/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Mon, 27 Jan 2025 18:08:43 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.5/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Mon, 27 Jan 2025 15:39:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.4/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Mon, 27 Jan 2025 15:15:26 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.3/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Fri, 17 Jan 2025 15:48:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.2/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Thu, 16 Jan 2025 13:58:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/anomed-deanonymizer/0.0.1/</link>
      <description>A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.</description>
<author>ypo.uzl@proton.me</author>      <pubDate>Thu, 16 Jan 2025 13:56:20 GMT</pubDate>
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