{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T02:25:51Z","timestamp":1768789551016,"version":"3.49.0"},"reference-count":10,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"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":[[2023,9]]},"DOI":"10.1109\/msec.2023.3287207","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T17:39:06Z","timestamp":1694021946000},"page":"72-77","source":"Crossref","is-referenced-by-count":13,"title":["Lessons Learned on Machine Learning for Computer Security"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3628-794X","authenticated-orcid":false,"given":"Daniel","family":"Arp","sequence":"first","affiliation":[{"name":"Machine Learning Department, Technische Universität Berlin, Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7170-1274","authenticated-orcid":false,"given":"Erwin","family":"Quiring","sequence":"additional","affiliation":[{"name":"International Computer Science Institute, Berkeley, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1140-322X","authenticated-orcid":false,"given":"Feargus","family":"Pendlebury","sequence":"additional","affiliation":[{"name":"University College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3617-3968","authenticated-orcid":false,"given":"Alexander","family":"Warnecke","sequence":"additional","affiliation":[{"name":"Machine Learning and Security, Technische Universität Berlin, Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1254-1758","authenticated-orcid":false,"given":"Fabio","family":"Pierazzi","sequence":"additional","affiliation":[{"name":"Department of Informatics, King’s College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1493-9552","authenticated-orcid":false,"given":"Christian","family":"Wressnegger","sequence":"additional","affiliation":[{"name":"Computer Science, Karlsruhe Institute of Technology, Karlsruhe, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3878-2680","authenticated-orcid":false,"given":"Lorenzo","family":"Cavallaro","sequence":"additional","affiliation":[{"name":"Computer Science, University College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5054-8758","authenticated-orcid":false,"given":"Konrad","family":"Rieck","sequence":"additional","affiliation":[{"name":"Technische Universität Berlin, Berlin, Germany"}]}],"member":"263","reference":[{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2021.3087402"},{"key":"ref7","first-page":"10,197","article-title":"Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks","volume":"32","author":"zhou","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP48549.2020.00018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSEC.2023.3236543"},{"key":"ref3","article-title":"Leakage and the reproducibility crisis in ML-based science","author":"kapoor","year":"2022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23158"},{"key":"ref5","first-page":"20","article-title":"Dos and don’ts of machine learning in computer security","author":"arp","year":"0","journal-title":"Proc Usenix Secur Symp"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/357830.357849"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660368"},{"key":"ref1","first-page":"729","article-title":"TESSERACT: Eliminating experimental bias in malware classification across space and time","author":"pendlebury","year":"0","journal-title":"Proc Usenix Secur Symp"}],"container-title":["IEEE Security & Privacy"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8013\/10242180\/10242205.pdf?arnumber=10242205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:42:15Z","timestamp":1695667335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10242205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":10,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/msec.2023.3287207","relation":{},"ISSN":["1540-7993","1558-4046"],"issn-type":[{"value":"1540-7993","type":"print"},{"value":"1558-4046","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}