{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:29:19Z","timestamp":1750220959082,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,3,29]],"date-time":"2020-03-29T00:00:00Z","timestamp":1585440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3,30]]},"DOI":"10.1145\/3341105.3373854","type":"proceedings-article","created":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T07:32:18Z","timestamp":1607499138000},"page":"1668-1677","source":"Crossref","is-referenced-by-count":4,"title":["Interpretable and adversarially-resistant behavioral malware signatures"],"prefix":"10.1145","author":[{"given":"Xiao","family":"Han","sequence":"first","affiliation":[{"name":"Orange Labs"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baptiste","family":"Olivier","sequence":"additional","affiliation":[{"name":"Orange Labs"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,3,29]]},"reference":[{"volume-title":"Understanding intermediate layers using linear classifier probes. arXiv preprint arXiv:1610.01644","year":"2016","author":"Alain Guillaume","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/GreenCom-iThings-CPSCom.2013.122"},{"volume-title":"Black Hat","year":"2017","author":"Anderson Hyrum S","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MALWARE.2015.7413683"},{"key":"e_1_3_2_1_5_1","first-page":"8","volume-title":"NDSS","volume":"9","author":"Bayer Ulrich","year":"2009"},{"volume-title":"TTAnalyze: A tool for analyzing malware. na","year":"2006","author":"Bayer Ulrich","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2666652.2666666"},{"volume-title":"Random forests. Machine learning","year":"2001","author":"Breiman Leo","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951715622512"},{"volume-title":"At a Glance: New ZeuS Variants. https:\/\/blog.trendmicro.com\/trendlabs-security-intelligence\/at-a-glance-new-zeus-variants\/","year":"2010","author":"Cabuag Vincent","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3190645.3190692"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2338965.2336768"},{"volume-title":"Annual Computer Security Applications Conference (ACSAC). ACM","year":"2017","author":"Chen Lingwei","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/EISIC.2017.21"},{"volume-title":"Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach. computers & security, 73:326--344","year":"2018","author":"Chen Sen","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","article-title":"Yes, machine learning can be more secure! a case study on android malware detection","author":"Demontis Ambra","year":"2017","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"volume-title":"New Gootkit Banking Trojan variant pushes the limits on evasive behavior. https:\/\/forums.juniper.net\/t5\/Threat-Research\/New-Gootkit-Banking-Trojan-variant-pushes-the-limits-on-evasive\/ba-p\/319055","year":"2018","author":"Goz Paul Kimayong","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66399-9_4"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2046684.2046692"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2012.10.004"},{"volume-title":"Android malware detection using deep learning on api method sequences. arXiv preprint arXiv:1712.08996","year":"2017","author":"Billah Karbab ElMouatez","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50127-7_11"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029823"},{"volume-title":"Advances in neural information processing systems","year":"2013","author":"Mikolov Tomas","key":"e_1_3_2_1_24_1"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28166-7_24"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"e_1_3_2_1_27_1","first-page":"849","volume-title":"Advances in neural information processing systems","author":"Ng Andrew Y","year":"2002"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2013.6642461"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06089-7_20"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25141-2_7"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CyberSA.2015.7166115"},{"volume-title":"https:\/\/www.symantec.com\/security-center\/writeup\/2017-051310-3522-99","year":"2017","author":"Response Symantec Security","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70542-0_6"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/2011216.2011217"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","volume-title":"Learning with kernels: support vector machines, regularization, optimization, and beyond","author":"Scholkopf Bernhard","year":"2001"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45719-2_11"},{"volume-title":"https:\/\/www.softscheck.com\/en\/deobfuscating-vba-powershell-scripts-of-an-emotet-trojan-downloader\/","year":"2017","author":"Stroetmann Lubomir","key":"e_1_3_2_1_38_1"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.45"}],"event":{"name":"SAC '20: The 35th ACM\/SIGAPP Symposium on Applied Computing","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Brno Czech Republic","acronym":"SAC '20"},"container-title":["Proceedings of the 35th Annual ACM Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341105.3373854","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3341105.3373854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:11Z","timestamp":1750204451000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341105.3373854"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,29]]},"references-count":39,"alternative-id":["10.1145\/3341105.3373854","10.1145\/3341105"],"URL":"https:\/\/doi.org\/10.1145\/3341105.3373854","relation":{},"subject":[],"published":{"date-parts":[[2020,3,29]]}}}