{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T12:16:01Z","timestamp":1771848961408,"version":"3.50.1"},"reference-count":42,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/malware.2018.8659360","type":"proceedings-article","created":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T00:23:21Z","timestamp":1552004601000},"page":"1-10","source":"Crossref","is-referenced-by-count":20,"title":["Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus"],"prefix":"10.1109","author":[{"given":"William","family":"Fleshman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward","family":"Raff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Zak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"McLean","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Nicholas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","author":"Anderson","year":"2017","journal-title":"Evading Machine Learning Malware Detection"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39498-0_12"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5188-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.57"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_25"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1007512.1007518"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2996758.2996769"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2089125.2089126"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2089125. 2089126"},{"key":"ref10","article-title":"Explaining and Harnessing Adversarial Examples","volume-title":"ICLR","author":"Goodfellow"},{"key":"ref11","article-title":"Adversarial perturbations against deep neural networks for malware classification","author":"Grosse","year":"2016","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-008-0100-6"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2428556.2428563"},{"key":"ref14","first-page":"625","article-title":"Transcend: Detecting Concept Drift in Malware Classification Models","volume-title":"26th USENIX Security Symposium (USENIX Security 17)","author":"Jordaney"},{"key":"ref15","first-page":"16","article-title":"Misleading Metrics : On Evaluating Machine Learning for Malware with Confidence","volume-title":"Technical report","author":"Jordaney","year":"2016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2517312.2517320"},{"key":"ref17","author":"Kolosnjaji","year":"2018","journal-title":"Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables"},{"key":"ref18","first-page":"2721","article-title":"Learning to Detect and Classify Malicious Executables in the Wild","volume":"7","author":"Kolter","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","author":"Kreuk","year":"2018","journal-title":"Adversarial Examples on Discrete Sequences for Beating Whole- Binary Malware Detection"},{"key":"ref20","first-page":"1097","article-title":"ImageNet Classification with Deep Convolutional Neural Networks","volume-title":"Advances in Neural Information Processing Systems","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029815"},{"key":"ref22","first-page":"218","article-title":"A guideline to anti-malware-software testing","author":"Marx","year":"2000","journal-title":"European Institute for Computer Anti-Virus Research (EICAR)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40667-1_7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89900-6_21"},{"key":"ref25","article-title":"PolyPack: An Automated Online Packing Service for Optimal Antivirus Evasion","volume-title":"Proceedings of the 3rd USENIX Conference on Offensive Technologies","author":"Oberheide"},{"key":"ref26","volume-title":"Ultimate Packer for eXecutables","author":"Oberhumer","year":"1996"},{"key":"ref27","article-title":"Transferability in machine learning: from phenomena to black-box attacks using adversarial samples","author":"Papernot","year":"2016","journal-title":"CoRR"},{"key":"ref28","article-title":"ROPInjector: Using Return- Oriented Programming for Polymorphism and AV Evasion","author":"Poulios","year":"2015","journal-title":"Black Hat USA"},{"key":"ref29","article-title":"Malware Detection by Eating a Whole EXE","author":"Raff","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140446"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-016- 0283-1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.14"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2996758.2996771"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MALWARE.2015.7413680"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SECPRI.2001. 924286"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04342-0_7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2381896.2381910"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2010.25"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-4048(14)00070-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1021\/ct2009208"},{"key":"ref41","volume-title":"From Malware Signatures to Anti-Virus Assisted Attacks","author":"Wressnegger","year":"2016"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"}],"event":{"name":"2018 13th International Conference on Malicious and Unwanted Software (MALWARE)","location":"Nantucket, MA, USA","start":{"date-parts":[[2018,10,22]]},"end":{"date-parts":[[2018,10,24]]}},"container-title":["2018 13th International Conference on Malicious and Unwanted Software (MALWARE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8653251\/8659351\/08659360.pdf?arnumber=8659360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T17:20:52Z","timestamp":1710436852000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8659360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/malware.2018.8659360","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}