<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Biometrics and facial recognition in Industry News</title>
    <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25739#M3203</link>
    <description>&lt;P&gt;Isn't it just the data set these algorithms have been trained on that skews the results?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If the input dataset is hairless white&amp;nbsp;caucasian almost exclusively then I'd expect beards (what's that!) and darker skin tones to result in a higher false positive identification rate.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 23 Jul 2019 07:10:48 GMT</pubDate>
    <dc:creator>Steve-Wilme</dc:creator>
    <dc:date>2019-07-23T07:10:48Z</dc:date>
    <item>
      <title>Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25723#M3200</link>
      <description>&lt;P&gt;For those who want to avoid facial recognition systems currently - the Chinese have pointed out a 30 percent error rate for those with beards - an obvious message there.&amp;nbsp;&amp;nbsp; Now the US have pointed out they are having problems with people with a dark complexion - which appears to have an error rate of 20 percent.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.wired.com/story/best-algorithms-struggle-recognize-black-faces-equally/?bxid=5cc9e0b62ddf9c1a7add2e37&amp;amp;cndid=48488471&amp;amp;esrc=desktopInterstitialF&amp;amp;source=EDT_WIR_NEWSLETTER_0_DAILY_ZZ&amp;amp;utm_brand=wired&amp;amp;utm_campaign=aud-dev&amp;amp;utm_mailing=WIR_Daily_072219&amp;amp;utm_medium=email&amp;amp;utm_source=nl&amp;amp;utm_term=WIR_Daily" target="_blank"&gt;https://www.wired.com/story/best-algorithms-struggle-recognize-black-faces-equally/?bxid=5cc9e0b62ddf9c1a7add2e37&amp;amp;cndid=48488471&amp;amp;esrc=desktopInterstitialF&amp;amp;source=EDT_WIR_NEWSLETTER_0_DAILY_ZZ&amp;amp;utm_brand=wired&amp;amp;utm_campaign=aud-dev&amp;amp;utm_mailing=WIR_Daily_072219&amp;amp;utm_medium=email&amp;amp;utm_source=nl&amp;amp;utm_term=WIR_Daily&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So for identification purposes alone, it is insufficient without additional controls.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Caute_cautim&lt;/P&gt;</description>
      <pubDate>Mon, 22 Jul 2019 21:41:10 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25723#M3200</guid>
      <dc:creator>Caute_cautim</dc:creator>
      <dc:date>2019-07-22T21:41:10Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25732#M3201</link>
      <description>&amp;gt; Caute_cautim (Community Champion) posted a new topic in Industry News on&lt;BR /&gt;&lt;BR /&gt;&amp;gt; For those who want to avoid facial recognition systems currently - the Chinese&lt;BR /&gt;&amp;gt; have pointed out a 30 percent error rate for those with beards&lt;BR /&gt;&lt;BR /&gt;And just why do you think greybeards *have* beards?&lt;BR /&gt;&lt;BR /&gt;====================== (quote inserted randomly by Pegasus Mailer)&lt;BR /&gt;rslade@vcn.bc.ca slade@victoria.tc.ca rslade@computercrime.org&lt;BR /&gt;Bullet proof vest vendors do not need to demonstrate that naked&lt;BR /&gt;people are vulnerable to gunfire. Similarly, a security&lt;BR /&gt;consultant does not need to demonstrate an actual vulnerability&lt;BR /&gt;in order to claim there is a valid risk. The lack of a live&lt;BR /&gt;exploit does not mean there is no risk. - Ron Rivest&lt;BR /&gt;victoria.tc.ca/techrev/rms.htm &lt;A href="http://twitter.com/rslade" target="_blank"&gt;http://twitter.com/rslade&lt;/A&gt;&lt;BR /&gt;&lt;A href="http://blogs.securiteam.com/index.php/archives/author/p1/" target="_blank"&gt;http://blogs.securiteam.com/index.php/archives/author/p1/&lt;/A&gt;&lt;BR /&gt;&lt;A href="https://is.gd/RotlWB" target="_blank"&gt;https://is.gd/RotlWB&lt;/A&gt;</description>
      <pubDate>Tue, 23 Jul 2019 00:42:39 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25732#M3201</guid>
      <dc:creator>rslade</dc:creator>
      <dc:date>2019-07-23T00:42:39Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25733#M3202</link>
      <description>&lt;P&gt;&lt;a href="https://community.isc2.org/t5/user/viewprofilepage/user-id/1324864413"&gt;@rslade&lt;/a&gt;I am sure there is a rationale behind your question about greybeards?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Either they are time honoured and highly distinguished people or the fact they could of the male persuasion ask suggested by Google and Gamer's links.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Or you have you have a great explanation?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Caute_cautim&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jul 2019 01:37:04 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25733#M3202</guid>
      <dc:creator>Caute_cautim</dc:creator>
      <dc:date>2019-07-23T01:37:04Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25739#M3203</link>
      <description>&lt;P&gt;Isn't it just the data set these algorithms have been trained on that skews the results?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If the input dataset is hairless white&amp;nbsp;caucasian almost exclusively then I'd expect beards (what's that!) and darker skin tones to result in a higher false positive identification rate.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jul 2019 07:10:48 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25739#M3203</guid>
      <dc:creator>Steve-Wilme</dc:creator>
      <dc:date>2019-07-23T07:10:48Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25740#M3204</link>
      <description>&lt;P&gt;Isn't it just the data set these algorithms have been trained on that skews the results?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If the input dataset is hairless white&amp;nbsp;caucasian almost exclusively then I'd expect beards (what's that!) and darker skin tones to result in a higher false positive identification rate.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jul 2019 07:13:35 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25740#M3204</guid>
      <dc:creator>Steve-Wilme</dc:creator>
      <dc:date>2019-07-23T07:13:35Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25767#M3205</link>
      <description>&lt;P&gt;&lt;a href="https://community.isc2.org/t5/user/viewprofilepage/user-id/783051913"&gt;@Steve-Wilme&lt;/a&gt;Yes, in terms of the input data provided to the systems to learn and develop.&amp;nbsp;&amp;nbsp; It also depends on the ethics and integrity of the scientists or developers creating the systems too - there can also be inherent bias, on the decisions made without them actually realising.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Caute_cautim&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jul 2019 21:09:16 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25767#M3205</guid>
      <dc:creator>Caute_cautim</dc:creator>
      <dc:date>2019-07-23T21:09:16Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25768#M3206</link>
      <description>&lt;P&gt;Well, I'll get on with growing the beard and tanning then.&lt;/P&gt;&lt;P&gt;My wife and daughter are out of luck...&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jul 2019 22:28:49 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25768#M3206</guid>
      <dc:creator>vt100</dc:creator>
      <dc:date>2019-07-23T22:28:49Z</dc:date>
    </item>
    <item>
      <title>Re: Biometrics and facial recognition</title>
      <link>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25772#M3207</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://community.isc2.org/t5/user/viewprofilepage/user-id/416071361"&gt;@vt100&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;&lt;P&gt;Well, I'll get on with growing the beard and tanning then.&lt;/P&gt;&lt;P&gt;My wife and daughter are out of luck...&lt;/P&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;They can still try tanning ...&lt;/P&gt;</description>
      <pubDate>Wed, 24 Jul 2019 00:43:58 GMT</pubDate>
      <guid>https://community.isc2.org/t5/Industry-News/Biometrics-and-facial-recognition/m-p/25772#M3207</guid>
      <dc:creator>rslade</dc:creator>
      <dc:date>2019-07-24T00:43:58Z</dc:date>
    </item>
  </channel>
</rss>

