<resource xmlns:datacite="http://datacite.org/schema/kernel-4">
<creators>
<creator>
<creatorName>Tjoa, Simon (St. Pölten UAS, Austria)</creatorName>
<givenName>Simon</givenName>
<familyName>Tjoa</familyName>
</creator>
<creator>
<creatorName>Buttinger, Christina (Austrian Armed Forces)</creatorName>
<givenName>Christina</givenName>
<familyName>Buttinger</familyName>
</creator>
<creator>
<creatorName>Holzinger, Katharina (Austrian Armed Forces)</creatorName>
<givenName>Katharina</givenName>
<familyName>Holzinger</familyName>
</creator>
<creator>
<creatorName>Kieseberg, Peter (St. Pölten UAS, Austria)</creatorName>
<givenName>Peter</givenName>
<familyName>Kieseberg</familyName>
</creator>
</creators>
<titles>
<title>Penetration Testing Artificial Intelligence</title>
</titles>
<publicationYear>2020-10</publicationYear>
<descriptions>
<description descriptionType="Other">Securing complex systems is an important challenge,
especially in critical systems. Artificial intelligence (AI),
which is increasingly used in critical domains such as
medical diagnosis, requires special treatment owing to
the difficulties associated with explaining AI decisions.
Currently, to perform an intensive security evaluation of
systems that rely on AI, testers need to resort to blackbox
(penetration) testing.</description>
</descriptions>
<resourceType resourceTypeGeneral="Text">PDFDocument</resourceType>
<language>en</language>
<dates>
<date dateType="Created">2020-12-15T09:03:28.106Z</date>
</dates>
<sizes>
<size>429655 b</size>
</sizes>
<formats>
<format>application/pdf</format>
</formats>
<rightsList>
<rights>All rights reserved</rights>
</rightsList>
</resource>
