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    <title>Robustness | Dr.Alex</title>
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      <title>Robustness</title>
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      <title>Certified Robustness: Fundamentals and Challenges</title>
      <link>https://petiushko.io/talk/2023/01/24/2023-01-24/</link>
      <pubDate>Tue, 24 Jan 2023 18:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Presentation made for webinars&amp;rsquo; stream of &lt;a href=&#34;https://ntrlab.com&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;NTR LABS&lt;/a&gt;.&lt;/p&gt;
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      <title>Smoothed Embeddings for Certified Few-Shot Learning</title>
      <link>https://petiushko.io/publication/conf_2022_smoothed_emb/</link>
      <pubDate>Thu, 01 Dec 2022 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2022_smoothed_emb/</guid>
      <description></description>
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    <item>
      <title>Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations</title>
      <link>https://petiushko.io/publication/conf_2022_cert_mult/</link>
      <pubDate>Sat, 23 Jul 2022 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2022_cert_mult/</guid>
      <description></description>
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    <item>
      <title>CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks</title>
      <link>https://petiushko.io/publication/conf_2022_cc_cert/</link>
      <pubDate>Sat, 26 Feb 2022 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2022_cc_cert/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Geometry-Inspired Top-K Adversarial Perturbations</title>
      <link>https://petiushko.io/publication/conf_2022_topk/</link>
      <pubDate>Mon, 03 Jan 2022 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2022_topk/</guid>
      <description></description>
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    <item>
      <title>Certified Robustness in High Dimensions</title>
      <link>https://petiushko.io/talk/2021/04/29/2021-04-29/</link>
      <pubDate>Thu, 29 Apr 2021 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2021/04/29/2021-04-29/</guid>
      <description>&lt;p&gt;I was invited by &lt;a href=&#34;https://scholar.google.ca/citations?user=BqDhGJQAAAAJ&amp;amp;hl=en&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Maxim Panov&lt;/a&gt; to make a presentation about the certified robustness and related concepts during the scientific seminars.&lt;/p&gt;
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    <item>
      <title>CNN Adversarial Robustness in the Real World</title>
      <link>https://petiushko.io/talk/2021/04/15/2021-04-15/</link>
      <pubDate>Thu, 15 Apr 2021 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2021/04/15/2021-04-15/</guid>
      <description>&lt;p&gt;I was &lt;a href=&#34;http://www.int.unn.ru/news/15-aprelya-otkrytaya-lektsiya-nnrc-huawei-dlya-studentov-i-prepodavatelej-na-baze-nngu/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;invited&lt;/a&gt; to make a presentation at &lt;a href=&#34;http://eng.unn.ru/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Lobachevsky University&lt;/a&gt;.&lt;/p&gt;
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    <item>
      <title>CNN Robustness research: Application to face detectors and face ID systems</title>
      <link>https://petiushko.io/talk/2021/02/04/2021-02-04/</link>
      <pubDate>Thu, 04 Feb 2021 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2021/02/04/2021-02-04/</guid>
      <description>&lt;p&gt;I was invited to make a presentation at &lt;a href=&#34;https://opentalks.ai/en/details&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;OpenTalks.AI&lt;/a&gt; about the advances in adversarial robustness for face detection and identification: &lt;a href=&#34;https://speakerdeck.com/opentalks2/opentalks-dot-ai-alieksandr-pietiushko-issliedovaniie-ustoichivosti-sviertochnykh-nieirosietiei-na-primierie-sistiem-dietiektsii-i-raspoznavaniia-lits&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;SpeakerDeck&lt;/a&gt; presentation.&lt;/p&gt;
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    <item>
      <title>AdvHat: Real-World Adversarial Attack on ArcFace Face ID System</title>
      <link>https://petiushko.io/publication/conf_2021_advhat/</link>
      <pubDate>Sun, 03 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2021_advhat/</guid>
      <description>&lt;p&gt;Mentioned in &lt;a href=&#34;https://youtu.be/sSVRgSUq2rA?t=1585&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;video&lt;/a&gt;.&lt;/p&gt;
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    <item>
      <title>Robustness Threats of Differential Privacy</title>
      <link>https://petiushko.io/publication/conf_2020_diffpriv/</link>
      <pubDate>Fri, 11 Dec 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2020_diffpriv/</guid>
      <description></description>
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    <item>
      <title>CNN Robustness research. Application to face detectors and face ID systems</title>
      <link>https://petiushko.io/talk/2020/12/01/2020-12-01/</link>
      <pubDate>Tue, 01 Dec 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/12/01/2020-12-01/</guid>
      <description>&lt;p&gt;I made the presentation about the adversarial robustness theory and our publications in this area during the Huwei Workshop.&lt;/p&gt;
</description>
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    <item>
      <title>CNN Adversarial Robustness. The Theory (digital adversaries)</title>
      <link>https://petiushko.io/post/2020/11/08/2020_11_medium/</link>
      <pubDate>Sun, 08 Nov 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/post/2020/11/08/2020_11_medium/</guid>
      <description>&lt;p&gt;A &lt;a href=&#34;https://medium.com/swlh/cnn-adversarial-robustness-3d1cb8013ecf&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;post&lt;/a&gt; about adversarial robustness in the digital world and the theory behind it on &lt;a href=&#34;https://medium.com&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;medium.com&lt;/a&gt;.&lt;/p&gt;
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    </item>
    
    <item>
      <title>Anomaly detection for AI</title>
      <link>https://petiushko.io/talk/2020/11/01/2020-11-01/</link>
      <pubDate>Sun, 01 Nov 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/11/01/2020-11-01/</guid>
      <description>&lt;p&gt;I made the presentation about the holistic approach for the robustness direction and its application to anomaly detection during the 2-days Huwei Summit and Workshop (&lt;a href=&#34;http://huaweiindustrialvideointelligencesummit.com/Data/List/Agenda&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Program&lt;/a&gt;).&lt;/p&gt;
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    <item>
      <title>Adversarial and Certified Robustness</title>
      <link>https://petiushko.io/talk/2020/09/20/2020-09-20/</link>
      <pubDate>Sun, 20 Sep 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/09/20/2020-09-20/</guid>
      <description>&lt;p&gt;I made the presentation during &lt;a href=&#34;https://docs.google.com/spreadsheets/d/1zPewpluO4QYR0xv3hqW2BsDtsoeTpLzjKxCWSuB4wi4/edit#gid=660326278&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Huawei Industrial Track&lt;/a&gt; on the DataFest-2020 by &lt;a href=&#34;https://ods.ai/events/datafest2020&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open Data Science&lt;/a&gt;.&lt;/p&gt;
</description>
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    <item>
      <title>CNN Robustness Research. The Theory</title>
      <link>https://petiushko.io/post/2020/08/12/2020_08_habr/</link>
      <pubDate>Wed, 12 Aug 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/post/2020/08/12/2020_08_habr/</guid>
      <description>&lt;p&gt;A &lt;a href=&#34;https://habr.com/ru/company/huawei/blog/509816/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;post&lt;/a&gt; about adversarial robustness (in Russian) on the most known Russion technical resource &lt;a href=&#34;https://habr.com&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;habr.com&lt;/a&gt;.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World</title>
      <link>https://petiushko.io/talk/2020/06/26/2020-06-26/</link>
      <pubDate>Fri, 26 Jun 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/06/26/2020-06-26/</guid>
      <description>&lt;p&gt;A presentation during &lt;a href=&#34;https://www.spice-agency.ru&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Spice IT&lt;/a&gt; Computer Vision Online Meetup.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Adversarial Machine Learning in Real World</title>
      <link>https://petiushko.io/talk/2020/05/29/2020-05-29/</link>
      <pubDate>Fri, 29 May 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/05/29/2020-05-29/</guid>
      <description>&lt;p&gt;I was invited by &lt;a href=&#34;https://chebyshev.spbu.ru/en/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Chebyshev Lab&lt;/a&gt; to make a presentation about the analysis of adversarial ML for real-world applications.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Certified Robustness for modern NN</title>
      <link>https://petiushko.io/talk/2020/05/24/2020-05-24/</link>
      <pubDate>Sun, 24 May 2020 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2020/05/24/2020-05-24/</guid>
      <description>&lt;p&gt;I was &lt;a href=&#34;https://petiushko.io/files/20200524_Stat_Olympiad_program.pdf&#34;&gt;invited&lt;/a&gt; by HSE and SkolTech Universities to make a presentation during the &lt;a href=&#34;https://hse.skoltech.ru/en&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Statistical Learning Olympiad&lt;/a&gt;.&lt;/p&gt;
</description>
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    <item>
      <title>On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System</title>
      <link>https://petiushko.io/publication/conf_2019_advpatch/</link>
      <pubDate>Fri, 25 Oct 2019 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2019_advpatch/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Real-world Attack on MTCNN Face Detection System</title>
      <link>https://petiushko.io/publication/conf_2019_mtcnn/</link>
      <pubDate>Fri, 25 Oct 2019 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/publication/conf_2019_mtcnn/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Adversarial Machine Learning</title>
      <link>https://petiushko.io/talk/2019/10/12/2019-10-12/</link>
      <pubDate>Sat, 12 Oct 2019 00:00:00 +0000</pubDate>
      <guid>https://petiushko.io/talk/2019/10/12/2019-10-12/</guid>
      <description>&lt;p&gt;I was &lt;a href=&#34;https://petiushko.io/files/20191012_FestivalNauki_Program.png&#34;&gt;invited&lt;/a&gt; by 2019 &lt;a href=&#34;http://festivalnauki.ru/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Science Festival&lt;/a&gt; to make a presentation about the analysis of adversarial ML for real-world applications.&lt;/p&gt;
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