LEADER 02038nam 2200373 450 001 9910717404603321 005 20230830230237.0 024 7 $a10.1145/3579987 035 $a(CKB)5700000000358003 035 $a(NjHacI)995700000000358003 035 $a(EXLCZ)995700000000358003 100 $a20230830d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 9th ACM International Workshop on Security and Privacy Analytics /$fDavid J. Marchette [and three others] 210 1$aNew York, NY :$cAssociation for Computing Machinery,$d2023. 215 $a1 online resource (107 pages) $cillustrations 225 1 $aACM international conference proceedings series 311 $a979-84-00-70099-6 330 $aIt is our great pleasure to welcome you to the 2023 ACM International Workshop on Security and Privacy Analytics - IWSPA 2023. This year's workshop is the ninth in the series and co-hosted with the Thirteenth ACM Annual Conference on Data and Applications Security and Privacy (CODASPY 2023). IWSPA addresses important research topics associated with the application of data analytics tools and techniques (including statistical, machine learning, data mining, and natural language processing) to challenges that arise with security and privacy preservation. IWSPA provides a forum for the interaction between researchers in these areas, identifying and pursuing new topics that arise in the intersection between the fields of Artificial Intelligence and Cybersecurity. 410 0$aACM international conference proceedings series. 606 $aComputer security$vCongresses 615 0$aComputer security 676 $a005.8 700 $aMarchette$b David J.$066281 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910717404603321 996 $aProceedings of the 9th ACM International Workshop on Security and Privacy Analytics$93535769 997 $aUNINA