{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T23:59:44Z","timestamp":1762041584611,"version":"build-2065373602"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.23919\/date51398.2021.9474036","type":"proceedings-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:11:46Z","timestamp":1629843106000},"page":"1769-1774","source":"Crossref","is-referenced-by-count":9,"title":["HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection"],"prefix":"10.23919","author":[{"given":"Abhijitt","family":"Dhavlle","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanket","family":"Shukla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Setareh","family":"Rafatirad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houman","family":"Homayoun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai Manoj","family":"Pudukotai Dinakarrao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011919"},{"key":"ref11","article-title":"Anomaly detection for malware identification using hardware performance counters","volume":"abs 1508 7482","author":"garcia-serrano","year":"2015","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2018.2801858"},{"key":"ref13","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"0","journal-title":"Int Conf on Learning Representations"},{"key":"ref14","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref16","article-title":"Delving into transferable adversarial examples and black-box attacks","author":"liu","year":"0","journal-title":"Int Conf on Learning Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317762"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1109\/TCAD.2020.3026960","article-title":"Defending hardware-based malware detectors against adversarial attacks","author":"kuruvila","year":"2021","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"},{"key":"ref19","article-title":"Adversarial deep learning for robust detection of binary encoded malware","volume":"abs 1801 2950","author":"huang","year":"2018","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-11379-1_6","article-title":"Unsupervised anomaly-based malware detection using hardware features","author":"tang","year":"2014","journal-title":"Research in Attacks Intrusions and Defenses"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2508148.2485970"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CASES.2018.8516874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465828"},{"key":"ref8","article-title":"2SMaRT: A two-stage machine learning-based approach for run-time specialized hardware-assisted malware detection","author":"sayadi","year":"2019","journal-title":"Design Automation and Test in Europe"},{"key":"ref7","article-title":"Lightweight node-level malware detection and network-level malware confinement in iot networks","author":"dinakarrao","year":"2019","journal-title":"Design Automation and Test in Europe"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062202"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMSCS.2016.2569467"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-008-0086-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3123972"},{"key":"ref22","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2016","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3196494.3196515"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WWC.2001.990739"},{"journal-title":"Explaining and Harnessing Adversarial Examples","year":"2014","author":"goodfellow","key":"ref23"},{"journal-title":"VirusShare Team","year":"0","key":"ref26"},{"journal-title":"Virustotal intelligence service","year":"0","key":"ref25"}],"event":{"name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","start":{"date-parts":[[2021,2,1]]},"location":"Grenoble, France","end":{"date-parts":[[2021,2,5]]}},"container-title":["2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9473901\/9473226\/09474036.pdf?arnumber=9474036","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T21:45:06Z","timestamp":1643319906000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9474036\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":26,"URL":"https:\/\/doi.org\/10.23919\/date51398.2021.9474036","relation":{},"subject":[],"published":{"date-parts":[[2021,2,1]]}}}