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100   $a20230828d2019      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProceedings of the 12th ACM Workshop on Artificial Intelligence and Security /$fLorenzo Cavallaro [and six others]
210  1$aNew York, NY :$cAssociation for Computing Machinery,$d2019.
215   $a1 online resource (117 pages)
311   $a1-4503-6833-6 
330   $aIt is our pleasure to welcome you to the 12th ACM Workshop on Artificial Intelligence and Security - AISec 2019. AISec, having been annually co-located with CCS for 12 consecutive years, is the premier meeting place for researchers interested in the intersection of security, privacy, AI, and machine learning. Its role as a venue has been to merge practical security problems with advances in AI and machine learning. In doing so, researchers also have been developing theory and analytics unique to this domain and have explored diverse topics such as learning in game-theoretic adversarial environments, privacy-preserving learning, and applications to malware, spam and intrusion detection. AISec 2019 received 40 submissions, of which 10 (25%) were selected for publication and presentation as full papers. Submissions arrived from researchers in many different countries, from a wide variety of institutions both academic and corporate.
606   $aComputer security$vCongresses
615  0$aComputer security
676   $a005.8
700   $aCavallaro$b Lorenzo$01389172
702   $aBiggio$b Battista
702   $aShabtai$b Asaf
702   $aElovici$b Yuval
702   $aAfroz$b Sadia
702   $aKinder$b Johannes
702   $aCarlini$b Nicholas
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910412122203321
996   $aProceedings of the 12th ACM Workshop on Artificial Intelligence and Security$93440404
997   $aUNINA