<div dir="ltr">Sorry, to be more specific, in theory, adversarial attacks can be used to game machine learning systems in a black hat hacking sort of way. You could trick the system into doing exactly what you want it to just by feeding it bad data for ill gotten gain.<div><br></div><div><div class="gmail_extra"><div class="gmail_quote">On Tue, Jan 16, 2018 at 1:48 PM, spike <span dir="ltr"><<a href="mailto:spike66@att.net" target="_blank">spike66@att.net</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div lang="EN-US" link="blue" vlink="purple"><div class="m_-2727488430044512048WordSection1"><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u><br></p><div><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Wait what? Exploiting for profit is a problem? I thought that was the solution.<span class="HOEnZb"><font color="#888888"><u></u><u></u></font></span></p><span class="HOEnZb"><font color="#888888"><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">spike<u></u><u></u></p></font></span></div></div></div><br>______________________________<wbr>_________________<br>
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