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    <title>PyPI recent updates for adversarial-lab</title>
    <link>https://pypi.org/project/adversarial-lab/</link>
    <description>Recent updates to the Python Package Index for adversarial-lab</description>
    <language>en</language>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.6/</link>
      <description>A unified library for performing adversarial attacks on ML models</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Tue, 28 Oct 2025 07:08:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.5/</link>
      <description>A unified library for performing adversarial attacks on ML models</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Thu, 09 Oct 2025 02:53:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.4/</link>
      <description>A unified library for performing adversarial attacks on ML models</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Mon, 06 Oct 2025 04:45:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.3/</link>
      <description>A unified library for performing adversarial attacks on ML model to test their defense.</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Mon, 19 May 2025 14:33:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.2/</link>
      <description>A unified library for performing adversarial attacks on ML model to test their defense.</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 04:13:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.1/</link>
      <description>A unified library for performing adversarial attacks on ML model to test their defense.</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Fri, 28 Mar 2025 13:44:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc0</title>
      <link>https://pypi.org/project/adversarial-lab/0.0.1rc0/</link>
      <description>A unified library for performing adversarial attacks on ML model to test their defense.</description>
<author>preddy.osdev@gmail.com</author>      <pubDate>Wed, 16 Oct 2024 01:00:43 GMT</pubDate>
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