Annual Computer Security Applications Conference<p>Today's <a href="https://infosec.exchange/tags/ACSAC2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ACSAC2023</span></a> paper preview is by Li et al. who researched Temper, a technique to speed up <a href="https://infosec.exchange/tags/PrivacyPreserving" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PrivacyPreserving</span></a> <a href="https://infosec.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> services on the <a href="https://infosec.exchange/tags/cloud" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cloud</span></a>, through securely reusing <a href="https://infosec.exchange/tags/TrustedEnclaves" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TrustedEnclaves</span></a> and efficiently partitioning large AI models. <br><a href="https://www.openconf.org/acsac2023/modules/request.php?module=oc_program&amp;action=summary.php&amp;id=172" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">openconf.org/acsac2023/modules</span><span class="invisible">/request.php?module=oc_program&amp;action=summary.php&amp;id=172</span></a></p>