{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:12:26Z","timestamp":1769922746867,"version":"3.49.0"},"reference-count":18,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Secur. Privacy"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/msec.2019.2907097","type":"journal-article","created":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T03:50:51Z","timestamp":1558669851000},"page":"46-53","source":"Crossref","is-referenced-by-count":12,"title":["Cybersecurity in the Era of Data Science: Examining New Adversarial Models"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3989-6097","authenticated-orcid":false,"given":"Bulent","family":"Yener","sequence":"first","affiliation":[{"name":"Computer Science, Renssellaer Polytechnic Institute, Troy, New York United States"}]},{"given":"Tsvi","family":"Gal","sequence":"additional","affiliation":[{"name":"Morgan Stanley, United States"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014"},{"key":"ref12","article-title":"Measuring the tendency of CNNs to learn surface statistical regularities","author":"jo","year":"2017"},{"key":"ref15","article-title":"On the (statistical) detection of adversarial examples","author":"grosse","year":"2017"},{"key":"ref14","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"2016"},{"key":"ref11","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3150376.3150378"},{"key":"ref2","first-page":"1467","article-title":"Poisoning attacks against support vector machines","author":"battista","year":"0","journal-title":"Proc Int Conf Machine Learn (ICML)"},{"key":"ref1","article-title":"Microsoft malware classification challenge","author":"ronen","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98842-9_1"},{"key":"ref16","author":"manuel","year":"2017","journal-title":"CVE-2017-11826 exploited in the wild with politically themed RTF document"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CNS.2017.8228656"},{"key":"ref8","article-title":"Understanding black-box predictions via influence functions","author":"koh","year":"2017"},{"key":"ref7","first-page":"1803","article-title":"How to explain individual classification decisions","volume":"11","author":"baehrens","year":"1831","journal-title":"J Mach Learn Res"},{"key":"ref9","article-title":"Opening the black box of deep neural networks via information","author":"schwartz-ziv","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2016.51"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2805680"},{"key":"ref6","article-title":"On effectiveness of defensive distillation","author":"papernot","year":"2016"},{"key":"ref5","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"0","journal-title":"Proc Int Conf Learning Representations"}],"container-title":["IEEE Security &amp; Privacy"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8013\/8886872\/08705390.pdf?arnumber=8705390","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T21:22:47Z","timestamp":1682630567000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8705390\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":18,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/msec.2019.2907097","relation":{},"ISSN":["1540-7993","1558-4046"],"issn-type":[{"value":"1540-7993","type":"print"},{"value":"1558-4046","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11]]}}}