{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:46:34Z","timestamp":1772775994040,"version":"3.50.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"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":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386132","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:47Z","timestamp":1705948127000},"page":"3099-3106","source":"Crossref","is-referenced-by-count":1,"title":["Learning Explainable Multi-view Representations for Malware Authorship Attribution"],"prefix":"10.1109","author":[{"given":"Irsyad","family":"Adam","sequence":"first","affiliation":[{"name":"University of California,Los Angeles"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex","family":"Waagen","sequence":"additional","affiliation":[{"name":"HRL Laboratories, LLC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dana","family":"Warmsley","sequence":"additional","affiliation":[{"name":"HRL Laboratories, LLC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiejun","family":"Xu","sequence":"additional","affiliation":[{"name":"HRL Laboratories, LLC"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2019.01.028"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51966-1_17"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2016.04.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66402-6_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISDFS.2016.7473512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0558-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2134\/1\/012011"},{"key":"ref8","first-page":"255","article-title":"De-anonymizing programmers via code stylometry","volume-title":"24th USENIX security symposium (USENIX Security 15)","author":"Caliskan-Islam"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/app11146640"},{"key":"ref10","article-title":"Identifying authorship style in malicious binaries: techniques, challenges & datasets","author":"Gray","year":"2021","journal-title":"arXiv preprint arXiv:2101.06124"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-6372-7_70"},{"key":"ref12","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01588-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3446371"},{"key":"ref15","first-page":"4116","article-title":"Contrastive multiview representation learning on graphs","volume-title":"International conference on machine learning","author":"Hassani"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DSN53405.2022.00028"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3338840.3355684"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292577"},{"key":"ref20","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv preprint arXiv:1609.02907"},{"key":"ref21","first-page":"19620","article-title":"Parameterized explainer for graph neural network","volume":"33","author":"Luo","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3417978"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23822-2_10"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SANER53432.2022.00120"},{"key":"ref27","volume-title":"2022 sonwall cyber threat report","year":"2022"},{"key":"ref28","volume-title":"2023 sonwall cyber threat report","year":"2023"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943639"},{"issue":"11","key":"ref31","article-title":"Visualizing data using t-sne","volume":"9","author":"der Maaten","year":"2008","journal-title":"Journal of machine learning research"},{"key":"ref32","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv preprint arXiv:1710.10903"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/SecDev.2017.14"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/QRS54544.2021.00018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449786"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020943"},{"key":"ref37","article-title":"Authorship identification and verification of javascript source code: An evaluation of techniques","author":"Wilco","year":"2014"},{"key":"ref38","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv preprint arXiv:1810.00826"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1058-9"},{"key":"ref40","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume":"32","author":"Ying","year":"2019","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","location":"Sorrento, Italy","start":{"date-parts":[[2023,12,15]]},"end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386132.pdf?arnumber=10386132","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:47:36Z","timestamp":1706755656000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386132\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386132","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}