<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for adversarial-robustness-toolbox</title>
    <link>https://pypi.org/project/adversarial-robustness-toolbox/</link>
    <description>Recent updates to the Python Package Index for adversarial-robustness-toolbox</description>
    <language>en</language>    <item>
      <title>1.20.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.20.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 19:53:16 GMT</pubDate>
    </item>    <item>
      <title>1.20.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.20.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Mon, 30 Jun 2025 11:43:55 GMT</pubDate>
    </item>    <item>
      <title>1.19.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.19.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 18 Jun 2025 11:25:33 GMT</pubDate>
    </item>    <item>
      <title>1.19.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.19.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 22 Jan 2025 09:57:58 GMT</pubDate>
    </item>    <item>
      <title>1.19.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.19.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 20 Dec 2024 00:38:03 GMT</pubDate>
    </item>    <item>
      <title>1.18.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.18.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 02 Oct 2024 21:24:21 GMT</pubDate>
    </item>    <item>
      <title>1.18.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.18.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 03 Jul 2024 17:21:24 GMT</pubDate>
    </item>    <item>
      <title>1.18.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.18.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sun, 16 Jun 2024 21:27:12 GMT</pubDate>
    </item>    <item>
      <title>1.17.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.17.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 17 Feb 2024 23:56:02 GMT</pubDate>
    </item>    <item>
      <title>1.17.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.17.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 27 Dec 2023 21:11:33 GMT</pubDate>
    </item>    <item>
      <title>1.16.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.16.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 22 Sep 2023 14:17:16 GMT</pubDate>
    </item>    <item>
      <title>1.15.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.15.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 12 Sep 2023 20:44:10 GMT</pubDate>
    </item>    <item>
      <title>1.15.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.15.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sun, 20 Aug 2023 22:22:42 GMT</pubDate>
    </item>    <item>
      <title>1.15.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.15.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 30 Jun 2023 21:23:09 GMT</pubDate>
    </item>    <item>
      <title>1.14.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.14.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 21 Apr 2023 19:31:29 GMT</pubDate>
    </item>    <item>
      <title>1.14.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.14.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 17 Mar 2023 14:18:06 GMT</pubDate>
    </item>    <item>
      <title>1.13.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.13.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Thu, 16 Feb 2023 12:40:13 GMT</pubDate>
    </item>    <item>
      <title>1.13.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.13.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sun, 18 Dec 2022 12:14:55 GMT</pubDate>
    </item>    <item>
      <title>1.12.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.12.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 15 Nov 2022 15:14:54 GMT</pubDate>
    </item>    <item>
      <title>1.12.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.12.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 28 Sep 2022 10:53:34 GMT</pubDate>
    </item>    <item>
      <title>1.12.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.12.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 23 Sep 2022 23:59:11 GMT</pubDate>
    </item>    <item>
      <title>1.11.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.11.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 06 Sep 2022 09:57:25 GMT</pubDate>
    </item>    <item>
      <title>1.11.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.11.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 01 Jul 2022 09:42:44 GMT</pubDate>
    </item>    <item>
      <title>1.10.3</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.10.3/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 04 Jun 2022 10:46:20 GMT</pubDate>
    </item>    <item>
      <title>1.10.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.10.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 24 May 2022 10:17:20 GMT</pubDate>
    </item>    <item>
      <title>1.10.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.10.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 22 Apr 2022 10:59:06 GMT</pubDate>
    </item>    <item>
      <title>1.10.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.10.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Wed, 16 Mar 2022 15:30:43 GMT</pubDate>
    </item>    <item>
      <title>1.9.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.9.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 07 Jan 2022 13:32:42 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.9.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 18 Dec 2021 22:30:58 GMT</pubDate>
    </item>    <item>
      <title>1.8.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.8.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 15 Oct 2021 15:41:12 GMT</pubDate>
    </item>    <item>
      <title>1.8.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.8.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 25 Sep 2021 23:27:53 GMT</pubDate>
    </item>    <item>
      <title>1.7.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.7.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Mon, 30 Aug 2021 23:18:42 GMT</pubDate>
    </item>    <item>
      <title>1.7.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.7.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Mon, 12 Jul 2021 11:31:04 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.7.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 15 Jun 2021 20:32:09 GMT</pubDate>
    </item>    <item>
      <title>1.6.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.6.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Thu, 20 May 2021 22:05:47 GMT</pubDate>
    </item>    <item>
      <title>1.6.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.6.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Fri, 16 Apr 2021 23:49:58 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.6.0/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Tue, 16 Mar 2021 14:39:19 GMT</pubDate>
    </item>    <item>
      <title>1.5.3</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.5.3/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 13 Mar 2021 22:56:23 GMT</pubDate>
    </item>    <item>
      <title>1.5.2</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.5.2/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 20 Feb 2021 00:34:52 GMT</pubDate>
    </item>    <item>
      <title>1.5.1</title>
      <link>https://pypi.org/project/adversarial-robustness-toolbox/1.5.1/</link>
      <description>Toolbox for adversarial machine learning.</description>
<author>irinutza.n@gmail.com</author>      <pubDate>Sat, 09 Jan 2021 02:13:17 GMT</pubDate>
    </item>  </channel>
</rss>