{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:07:53Z","timestamp":1743134873397,"version":"3.40.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T00:00:00Z","timestamp":1736553600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T00:00:00Z","timestamp":1736553600000},"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":[[2025,1,11]]},"DOI":"10.1109\/icce63647.2025.10930040","type":"proceedings-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:16:58Z","timestamp":1743041818000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches"],"prefix":"10.1109","author":[{"given":"Carson","family":"Koball","sequence":"first","affiliation":[{"name":"The Beacom College of Computer and Cyber Sciences, Dakota State University,Madison,SD,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"The Beacom College of Computer and Cyber Sciences, Dakota State University,Madison,SD,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Varghese","family":"Vaidyan","sequence":"additional","affiliation":[{"name":"The Beacom College of Computer and Cyber Sciences, Dakota State University,Madison,SD,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Hastings","sequence":"additional","affiliation":[{"name":"The Beacom College of Computer and Cyber Sciences, Dakota State University,Madison,SD,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.6028\/nist.ai.100-2e2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2024.3396357"},{"key":"ref3","article-title":"RT-IoT2022","volume-title":"UCI Machine Learning Repository","author":"S","year":"2024"},{"key":"ref4","first-page":"20","article-title":"Explaining and harnessing adversarial examples","volume":"1050","author":"Goodfellow","year":"2015","journal-title":"stat"},{"key":"ref5","first-page":"26","article-title":"Ensemble adversarial training: Attacks and defenses","volume":"1050","author":"Tramer","year":"2020","journal-title":"stat"},{"key":"ref6","article-title":"Intriguing properties of neural networks","volume-title":"2nd International Conference on Learning Representations, ICLR 2014","author":"Szegedy","year":"2014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727230"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2019.2906120"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3031843"},{"key":"ref10","first-page":"16165","article-title":"An efficient adversarial attack for tree ensembles","volume":"33","author":"Zhang","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2133360.2133363"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref14","first-page":"771","article-title":"A short introduction to boosting","volume":"14","author":"Freund","year":"1999","journal-title":"Journal-Japanese Society For Artificial Intelligence"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref17","first-page":"2387","article-title":"Evasion and hardening of tree ensemble classifiers","volume-title":"Proceedings of The 33rd International Conference on Machine Learning","volume":"48","author":"Kantchelian"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.2172\/1569514","volume-title":"Defending against adversarial examples","author":"Short","year":"2019"},{"key":"ref19","first-page":"22","article-title":"Ensemble adversarial training: Attacks and defenses","volume":"1050","author":"Tramer","year":"2018","journal-title":"stat"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"}],"event":{"name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","start":{"date-parts":[[2025,1,11]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2025,1,14]]}},"container-title":["2025 IEEE International Conference on Consumer Electronics (ICCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10929765\/10929768\/10930040.pdf?arnumber=10930040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:18:07Z","timestamp":1743099487000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10930040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,11]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icce63647.2025.10930040","relation":{},"subject":[],"published":{"date-parts":[[2025,1,11]]}}}