{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T15:43:14Z","timestamp":1782574994762,"version":"3.54.5"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS 17-19235"],"award-info":[{"award-number":["CNS 17-19235"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF through the Center for Advanced Electronics through Machine Learning (CAEML) and its industry members","award":["CNS 16-24810"],"award-info":[{"award-number":["CNS 16-24810"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/tvlsi.2019.2926324","type":"journal-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T19:59:03Z","timestamp":1564171143000},"page":"2720-2733","source":"Crossref","is-referenced-by-count":66,"title":["Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0725-1593","authenticated-orcid":false,"given":"Anupam","family":"Golder","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1843-0124","authenticated-orcid":false,"given":"Debayan","family":"Das","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josef","family":"Danial","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0069-7971","authenticated-orcid":false,"given":"Santosh","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5566-8946","authenticated-orcid":false,"given":"Shreyas","family":"Sen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8391-0576","authenticated-orcid":false,"given":"Arijit","family":"Raychowdhury","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"35","article-title":"Improving side-channel analysis through semi-supervised learning","author":"picek","year":"2018","journal-title":"Proc Int Conf Smart Card Res Adv Appl"},{"key":"ref38","first-page":"1","article-title":"Convolutional neural network based side-channel attacks in time-frequency representations","author":"yang","year":"2018","journal-title":"Proc Int Conf Smart Card Res Adv Appl"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_455"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20465-4_8"},{"key":"ref31","first-page":"94","article-title":"Optimization of power analysis using neural network","author":"martinasek","year":"2013","journal-title":"Proc Int Conf Smart Card Res Adv Appl"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/HST.2015.7140247"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"148","DOI":"10.46586\/tches.v2019.i3.148-179","article-title":"Make some noise: Unleashing the power of convolutional neural networks for profiled side-channel analysis","volume":"2019","author":"kim","year":"2019","journal-title":"Trans Cryptogr Hardw Embedded Syst"},{"key":"ref36","year":"2014","journal-title":"DPA Contest 2013&#x2013;2014"},{"key":"ref35","year":"2009","journal-title":"DPA Contest 2008&#x2013;2009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/978-3-642-29912-4_18","article-title":"Intelligent machine homicide","author":"heuser","year":"2012","journal-title":"Proc Int Workshop Constructive Side-Channel Anal Secure Design"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s13389-014-0089-3"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41224-0_7"},{"key":"ref2","first-page":"29","article-title":"The EM side&#x2014;Channel(s)","author":"agrawal","year":"2002","journal-title":"Proc Workshop Cryptographic Hardware Embedded Syst"},{"key":"ref1","first-page":"388","article-title":"Differential power analysis","author":"kocher","year":"1999","journal-title":"Proc Annu Int Cryptol Conf"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.7760865"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"132","DOI":"10.46586\/tches.v2019.i2.132-161","article-title":"Deep learning to evaluate secure RSA implementations","volume":"2019","author":"carbone","year":"2019","journal-title":"Trans Cryptogr Hardw Embedded Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317934"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10175-0_17"},{"key":"ref23","first-page":"1","article-title":"Template attacks in principal subspaces","author":"archambeau","year":"2006","journal-title":"Proc Workshop Cryptographic Hardware Embedded Syst"},{"key":"ref26","first-page":"243","article-title":"Template attacks on masking&#x2014;Resistance is futile","author":"oswald","year":"2007","journal-title":"Proc The Cryptographer s Track at RSA Conf"},{"key":"ref25","first-page":"440","article-title":"Practical template attacks","author":"rechberger","year":"2004","journal-title":"Proc Int Workshop Inf Secur Appl"},{"key":"ref50","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"Proc OSDI"},{"key":"ref51","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref10","first-page":"45","article-title":"Convolutional neural networks with data augmentation against jitter-based countermeasures","author":"cagli","year":"2017","journal-title":"Proc CHES"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s13389-017-0162-9"},{"key":"ref40","first-page":"34","article-title":"Loss functions for discriminative training of energy-based models","volume":"6","author":"lecun","year":"2005","journal-title":"Proc AISTATS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23951-9_14"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2757440"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s13389-012-0038-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2014.6986091"},{"key":"ref16","first-page":"263","article-title":"Efficient template attacks based on probabilistic multi-class support vector machines","author":"bartkewitz","year":"2012","journal-title":"Proc Int Conf Smart Card Res Adv Appl"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1504\/IJACT.2014.062722"},{"key":"ref18","article-title":"Study of deep learning techniques for side-channel analysis and introduction to ASCAD database","author":"benadjila","year":"2018"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-319-49445-6_1","article-title":"Breaking cryptographic implementations using deep learning techniques","author":"maghrebi","year":"2016","journal-title":"Proc Int Conf Secur Privacy Appl Cryptogr Eng"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44709-1_21"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45418-7_17"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/545186.545189"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SECPRI.2002.1004358"},{"key":"ref8","first-page":"13","article-title":"Template attacks","author":"chari","year":"2002","journal-title":"Proc Workshop Cryptographic Hardware Embedded Syst"},{"key":"ref49","article-title":"Keras: The python deep learning library","author":"chollet","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SECPRI.2004.1301311"},{"key":"ref9","first-page":"16","article-title":"Correlation power analysis with a leakage model","author":"brier","year":"2004","journal-title":"Proc Workshop Cryptographic Hardware Embedded Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/VLSID.2007.79"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19074-2_8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163055"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1278480.1278606"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27954-6_24"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref44","first-page":"15","article-title":"Enhancing dimensionality reduction methods for side-channel attacks","author":"cagli","year":"2015","journal-title":"Proc Int Conf Smart Card Res Adv Appl"},{"key":"ref43","first-page":"85","article-title":"Efficient stochastic methods: Profiled attacks beyond 8 bits","author":"choudary","year":"2014","journal-title":"Proc Int Conf Smart Card Res Adv Appl"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/92\/8910476\/8777157-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/92\/8910476\/08777157.pdf?arnumber=8777157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:06:17Z","timestamp":1657746377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8777157\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":51,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2019.2926324","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"value":"1063-8210","type":"print"},{"value":"1557-9999","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}