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  <title>Always strive to learn something useful.  --Sophocles</title>
  <link>https://thewayne.dreamwidth.org/</link>
  <description>Always strive to learn something useful.  --Sophocles - Dreamwidth Studios</description>
  <lastBuildDate>Thu, 24 Aug 2023 21:00:57 GMT</lastBuildDate>
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    <title>Always strive to learn something useful.  --Sophocles</title>
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  <pubDate>Thu, 24 Aug 2023 21:00:57 GMT</pubDate>
  <title>Using AI to hide secret messages via Steganography</title>
  <link>https://thewayne.dreamwidth.org/1330487.html</link>
  <description>Interesting stuff.  I especially enjoyed the bits talking about older methods of hiding messages in plain sight, like marking words in print with invisible ink.&lt;br /&gt;&lt;br /&gt;Steganography is an interesting art.  It&apos;s not cryptography as the technically the text is plainly available - if you know how to read it.  One method of steganography was encoding messages in photographs and then posting them online.  There&apos;s lots of wasted bits in photos, so you alter the bits, which doesn&apos;t really alter the image, post the photo, the recipient knows how to decode the bits, the message is passed.  But the technique is detectable because the image doesn&apos;t compress as well as an unaltered photo.&lt;br /&gt;&lt;br /&gt;Detecting textual steganography requires that you analyze the message text and develop a word probability distribution.  The word &apos;the&apos; is one of the most commonly occurring words used in written and spoken communications, &apos;analysis&apos; less so.  By comparing normal text to steganographic text, you can make assumptions as to whether or not text contains a hidden message.&lt;br /&gt;&lt;br /&gt;The text that the message is hidden IN is called the cover text.  It might be something like a visit to a local museum, and then the AI will alter that text to inject your secret message.  You can then send the altered message and the recipient can re-process it and extract your secret message.&lt;br /&gt;&lt;br /&gt;Now, here&apos;s the interesting bit.  By using AI, the difference in probability distributions can be reduced to zero.  So an enemy - a censor, a hostile state actor, whatever - cannot accurately say that any given message contains stenographic text!&lt;br /&gt;&lt;br /&gt;Word probability doesn&apos;t tell you what the hidden message is, just the likelihood of whether or not there is a hidden message there, which may mean an increased likelihood of a person or group coming under tighter scrutiny.&lt;br /&gt;&lt;br /&gt;The problem that I see with this is they&apos;re talking about a &lt;i&gt;&quot;plug-in for an app like WhatsApp or Signal would do the heavy algorithmic lifting&quot;&lt;/i&gt;.  I&apos;m a little confused at this point.  If they need to match the probability distribution of the cover text with the PD of the secret message, and it&apos;s done by an AI which is a supercomputer or a computer cluster, will you be able to do that with just a plugin on a smart phone?  I&apos;d like to see some more solid proof of concept here rather than &apos;our math models demonstrate&apos; sort of stuff before human rights workers in bad places put themselves at risk with stuff like this.&lt;br /&gt;&lt;br /&gt;&lt;a href=&quot;https://www.quantamagazine.org/secret-messages-can-hide-in-ai-generated-media-20230518/&quot;&gt;https://www.quantamagazine.org/secret-messages-can-hide-in-ai-generated-media-20230518/&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=thewayne&amp;ditemid=1330487&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
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  <category>steganography</category>
  <category>ai</category>
  <lj:security>public</lj:security>
  <lj:reply-count>7</lj:reply-count>
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