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    <title>PyPI recent updates for forgetnet</title>
    <link>https://pypi.org/project/forgetnet/</link>
    <description>Recent updates to the Python Package Index for forgetnet</description>
    <language>en</language>    <item>
      <title>0.1.21</title>
      <link>https://pypi.org/project/forgetnet/0.1.21/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Tue, 08 Oct 2024 17:11:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/forgetnet/0.1.20/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Tue, 08 Oct 2024 17:07:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/forgetnet/0.1.19/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Sun, 06 Oct 2024 16:13:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/forgetnet/0.1.18/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Mon, 12 Aug 2024 04:36:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/forgetnet/0.1.17/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Mon, 12 Aug 2024 04:33:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/forgetnet/0.1.16/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Sun, 11 Aug 2024 21:33:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.15</title>
      <link>https://pypi.org/project/forgetnet/0.1.15/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Sun, 11 Aug 2024 20:32:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/forgetnet/0.1.14/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Sun, 11 Aug 2024 20:22:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/forgetnet/0.1.13/</link>
      <description>A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Sun, 11 Aug 2024 20:07:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/forgetnet/0.1.12/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Wed, 07 Aug 2024 16:47:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/forgetnet/0.1.11/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Tue, 06 Aug 2024 01:14:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/forgetnet/0.1.10/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 01 Aug 2024 19:01:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/forgetnet/0.1.9/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 01 Aug 2024 04:40:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/forgetnet/0.1.7/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 01 Aug 2024 04:30:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/forgetnet/0.1.6/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 01 Aug 2024 04:22:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/forgetnet/0.1.5/</link>
      <description>A package for applying differential privacy to model training using block-level gradient shuffling</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 01 Aug 2024 04:13:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/forgetnet/0.1.4/</link>
      <description>A package for applying differential privacy to model weights</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 27 Jun 2024 20:42:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/forgetnet/0.1.3/</link>
      <description>A package for applying differential privacy to model weights</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 27 Jun 2024 19:40:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/forgetnet/0.1.2/</link>
      <description>A package for applying differential privacy to model weights</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 27 Jun 2024 18:51:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/forgetnet/0.1.1/</link>
      <description>A package for applying differential privacy to model weights</description>
<author>dave@greenwillowstudios.com</author>      <pubDate>Thu, 27 Jun 2024 18:43:56 GMT</pubDate>
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