{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:15:25Z","timestamp":1780589725879,"version":"3.54.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372105"],"award-info":[{"award-number":["62372105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272204"],"award-info":[{"award-number":["62272204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Leading-Edge Technology Program of the Jiangsu Natural Science Foundation","doi-asserted-by":"publisher","award":["BK20202001"],"award-info":[{"award-number":["BK20202001"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010023","name":"Natural Science Foundation of the Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["23KJB520004"],"award-info":[{"award-number":["23KJB520004"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tifs.2023.3318966","type":"journal-article","created":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:13:31Z","timestamp":1695665611000},"page":"30-43","source":"Crossref","is-referenced-by-count":47,"title":["WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7978-6602","authenticated-orcid":false,"given":"Qiang","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science and Communication Technology, Jiangsu University, Zhenjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0048-5979","authenticated-orcid":false,"given":"Liangmin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Cyber Space and Security Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2751-2607","authenticated-orcid":false,"given":"Huijuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Communication Technology, Jiangsu University, Zhenjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Communication Technology, Jiangsu University, Zhenjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-174X","authenticated-orcid":false,"given":"Victor S.","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2497690"},{"key":"ref2","volume-title":"Users-Tor Metrics","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3093615"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2046556.2046570"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2382196.2382260"},{"key":"ref6","first-page":"287","article-title":"Circuit fingerprinting attacks: Passive deanonymization of Tor hidden services","volume-title":"Proc. 24th USENIX Secur. Symp. (USENIX Security)","author":"Kwon"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243768"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2019.2901994"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3046876"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1655008.1655013"},{"key":"ref11","first-page":"143","article-title":"Effective attacks and provable defenses for website fingerprinting","volume-title":"Proc. 23rd USENIX Secur. Symp","author":"Wang"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660368"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2016.23477"},{"key":"ref14","first-page":"1187","article-title":"k-fingerprinting: A robust scalable website fingerprinting technique","volume-title":"Proc. 25th USENIX Secur. Symp. (USENIX Security)","author":"Hayes"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.28"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660362"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45744-4_2"},{"key":"ref18","first-page":"1375","article-title":"Walkie-talkie: An efficient defense against passive website fingerprinting attacks","volume-title":"Proc. 26th USENIX Secur. Symp. (USENIX Security)","author":"Wang"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3267323.3268960"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref22","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst., 26th Annu. Conf. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3112977"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2891537"},{"key":"ref28","first-page":"15","article-title":"Fingerprinting attack on Tor anonymity using deep learning","volume-title":"Proc. Asia\u2013Pacific Adv. Netw.","volume":"42","author":"Abe"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23105"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2019-0070"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354217"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108298"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3050608"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3158086"},{"key":"ref35","first-page":"717","article-title":"Zero-delay lightweight defenses against website fingerprinting","volume-title":"Proc. 29th USENIX Secur. Symp. (USENIX Security)","author":"Gong"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3423351"},{"key":"ref37","first-page":"125","article-title":"Adversarial examples are not bugs, they are features","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"32","author":"Ilyas"},{"key":"ref38","first-page":"1","article-title":"Explaining and harnessing adversarial examples","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Goodfellow"},{"key":"ref39","first-page":"1","article-title":"Intriguing properties of neural networks","volume-title":"Proc. 2nd Int. Conf. Learn. Represent. (ICLR)","author":"Szegedy"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3039691"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155465"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.19"},{"key":"ref43","first-page":"4271","article-title":"Funnel-transformer: Filtering out sequential redundancy for efficient language processing","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Dai"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref45","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. 7th Int. Conf. Learn. Represent. (ICLR)","author":"Loshchilov"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2307\/2331554"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39799-8_47"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243832"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/10319981\/10262062.pdf?arnumber=10262062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T18:52:35Z","timestamp":1734115955000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10262062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tifs.2023.3318966","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}