{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:20:18Z","timestamp":1785543618022,"version":"3.56.0"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation, Singapore, under its National Cybersecurity Research and Development Programme\/Cyber-Hardware Forensic & Assurance Evaluation Research and Development Programme","doi-asserted-by":"publisher","award":["CHFAGC1-AW01"],"award-info":[{"award-number":["CHFAGC1-AW01"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tifs.2022.3198267","type":"journal-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:28:47Z","timestamp":1660246127000},"page":"2977-2989","source":"Crossref","is-referenced-by-count":39,"title":["A DNN Fingerprint for Non-Repudiable Model Ownership Identification and Piracy Detection"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4992-6475","authenticated-orcid":false,"given":"Yue","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Si","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8897-6176","authenticated-orcid":false,"given":"Chip-Hong","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom50675.2020.00130"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04434-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401119"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3433210.3437526"},{"key":"ref14","first-page":"1","article-title":"Deep neural network fingerprinting by conferrable adversarial examples","author":"lukas","year":"2021","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.12.016"},{"key":"ref16","article-title":"Securing edge deep neural network against input evasion and IP theft","author":"wang","year":"2021"},{"key":"ref17","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"arXiv 1411 1792"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00130"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2893831"},{"key":"ref4","first-page":"515","article-title":"CSI NN: Reverse engineering of neural network architectures through electromagnetic side channel","author":"batina","year":"2019","journal-title":"Proc 28th USENIX Secur Symp (USENIX Secur )"},{"key":"ref3","first-page":"1","article-title":"Reverse engineering convolutional neural networks through side-channel information leaks","author":"hua","year":"2018","journal-title":"Proc 55th ACM\/ESDA\/IEEE Design Autom Conf (DAC)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/HOST45689.2020.9300274"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218707"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322251"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3078971.3078974"},{"key":"ref2","first-page":"2003","article-title":"Cache telepathy: Leveraging shared resource attacks to learn DNN architectures","author":"yan","year":"2020","journal-title":"Proc 29th Secur Symp (USENIX Secur )"},{"key":"ref9","first-page":"1615","article-title":"Turning your weakness into a strength: Watermarking deep neural networks by backdooring","author":"adi","year":"2018","journal-title":"Proc 27th Secur Symp (USENIX Secur )"},{"key":"ref1","first-page":"601","article-title":"Stealing machine learning models via prediction APIs","author":"tram\u00e8r","year":"2016","journal-title":"Proc 25th USENIX Secur Symp (USENIX Secur )"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2926777"},{"key":"ref22","first-page":"1","article-title":"The Johnson-Lindenstrauss lemma meets compressed sensing","volume":"100","author":"baraniuk","year":"2006","journal-title":"Preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.10073"},{"key":"ref24","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017","journal-title":"arXiv 1708 04552"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9652463\/09854806.pdf?arnumber=9854806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:01:55Z","timestamp":1663617715000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9854806\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/tifs.2022.3198267","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}