<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:#20124d">Many of the failure modes listed appear to be those of machine-learning based software components; others are those of the processes/steps used to develop those components and would be potential causes or mechanisms for the former. </div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:#20124d"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:#20124d">Is it common to have a failure modes identification combine the two together?  </div></div><div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(32,18,77)"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(32,18,77)"><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Dec 15, 2019 at 5:20 AM Peter Bernard Ladkin <<a href="mailto:ladkin@causalis.com" target="_blank">ladkin@causalis.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">For those interested in how current analytical methods can adapt to new SW techniques, here is a<br>
taxonomy of ML failure modes:<br>
<br>
<a href="https://docs.microsoft.com/en-us/security/failure-modes-in-machine-learning" rel="noreferrer" target="_blank">https://docs.microsoft.com/en-us/security/failure-modes-in-machine-learning</a><br>
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It was noted by Bruce Schneier, who is at Berkman-Klein, where some of the authors are, and<br>
published in his Crypto-Gram today, which is where I got it from.<br>
<br>
PBL<br>
<br>
Prof. Peter Bernard Ladkin, Bielefeld, Germany<br>
MoreInCommon<br>
Je suis Charlie<br>
Tel+msg +49 (0)521 880 7319  <a href="http://www.rvs-bi.de" rel="noreferrer" target="_blank">www.rvs-bi.de</a><br>
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