{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T13:36:00Z","timestamp":1793712960270,"version":"4.6.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Scientific Research Planning Project of Anhui Province","award":["2022AH050072"],"award-info":[{"award-number":["2022AH050072"]}]},{"name":"Natural Science Foundation for the Higher Education Institutions of Anhui Province of China","award":["KJ2021A0039"],"award-info":[{"award-number":["KJ2021A0039"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tbdata.2023.3248626","type":"journal-article","created":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T18:46:19Z","timestamp":1677264379000},"page":"1276-1287","source":"Crossref","is-referenced-by-count":20,"title":["Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3811-6995","authenticated-orcid":false,"given":"Fulan","family":"Qian","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9178-0644","authenticated-orcid":false,"given":"Bei","family":"Yuan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9479-4005","authenticated-orcid":false,"given":"Hai","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3507-9607","authenticated-orcid":false,"given":"Defu","family":"Lian","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7647-3603","authenticated-orcid":false,"given":"Shu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3274694.3274706"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209981"},{"key":"ref12","first-page":"1885","article-title":"Data poisoning attacks on factorization-based collaborative filtering","author":"li","year":"2016","journal-title":"Proc Adv Neural Inf Proces Syst"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2887018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3117078"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313416"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347031"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371841"},{"key":"ref53","first-page":"425","article-title":"Robust Bayesian matrix factorisation","author":"lakshminarayanan","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441757"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2017.23020"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346987"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/ett.3872"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3281659"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3512352"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411884"},{"key":"ref19","first-page":"12288","article-title":"Learning black-box attackers with transferable priors and query feedback","author":"yang","year":"2020","journal-title":"Proc Adv Neural Inf Proces Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3126733"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474275"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/543"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref45","article-title":"Poison frogs! targeted clean-label poisoning attacks on neural networks","author":"shafahi","year":"2018"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029245"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00038"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052639"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref44","first-page":"1","article-title":"Comprehensive privacy analysis of deep learning: Stand-alone and federated learning under passive and active white-box inference attacks","author":"nasr","year":"2018"},{"key":"ref43","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"2012"},{"key":"ref49","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","author":"yin","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3439729"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467335"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150465"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06573-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.07.041"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2022.020437"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref35","first-page":"99","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883090"},{"key":"ref36","article-title":"Nesterov accelerated gradient and scale invariance for adversarial attacks","author":"lin","year":"2020","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109153"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3050461"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICSESS49938.2020.9237700"},{"key":"ref32","article-title":"Adversarial examples attack based on random warm restart mechanism and improved nesterov momentum","author":"li","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380072"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3379992"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424348"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.04.001"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2015EDP7500"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401165"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00140"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.02.019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9655-x"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-012-0164-6"},{"key":"ref26","first-page":"2408","article-title":"Catch the black sheep: Unified framework for shilling attack detection based on fraudulent action propagation","author":"zhang","year":"2015","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref25","article-title":"Adversarial attacks and defenses on graphs: A review, a tool and empirical studies","author":"jin","year":"2020"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/1278366.1278372"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107102"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609483"},{"key":"ref63","first-page":"459","article-title":"Collaborative shilling detection bridging factorization and user embedding","author":"dou","year":"2017","journal-title":"Proc Lecture Notes Inst Comput Sci Social Inform Telecommun Eng"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412243"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-008-9050-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467233"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347050"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18178\/ijmlc.2020.10.3.953"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.137"},{"key":"ref29","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2893638"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313609"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331321"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10236926\/10052726.pdf?arnumber=10052726","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:35:37Z","timestamp":1695666937000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10052726\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":72,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2023.3248626","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}