{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T10:32:22Z","timestamp":1750156342308,"version":"3.37.3"},"reference-count":64,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100019779","name":"Qatar National Library","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019779","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3204175","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:05:37Z","timestamp":1662408337000},"page":"94019-94039","source":"Crossref","is-referenced-by-count":11,"title":["Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4839-8663","authenticated-orcid":false,"given":"Zakaria","family":"Tolba","sequence":"first","affiliation":[{"name":"Laboratory of Mathematics, Informatics and Systems (LAMIS), Larbi Tebessi University, Tebessa, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Makhlouf","family":"Derdour","sequence":"additional","affiliation":[{"name":"Networks and Systems RSI Laboratory–Annaba, University of Oum El Bouaghi, Oum El Bouaghi, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0632-3172","authenticated-orcid":false,"given":"Mohamed Amine","family":"Ferrag","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Guelma University, Guelma, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4955-6889","authenticated-orcid":false,"given":"S. M.","family":"Muyeen","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Qatar University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4844-508X","authenticated-orcid":false,"given":"Mohamed","family":"Benbouzid","sequence":"additional","affiliation":[{"name":"UMR CNRS 6027, University of Brest, Brest, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3099802"},{"volume-title":"Reducing the cost of machine learning differential attacks using bit selection and aPartial ML-Distinguisher","year":"2021","author":"Amirhossein","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-57332-1_36"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26951-7_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59013-0_7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/int.22895"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-73103-8_45"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77870-5_28"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-0761-4_97"},{"key":"ref10","first-page":"104","article-title":"Neural cryptanalysis of classical ciphers","volume-title":"Proc. Italian Conf. Theor. Comput. Sci.","author":"Focardi"},{"key":"ref11","first-page":"1","article-title":"Unsupervised cipher cracking using discrete GANs","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gomez"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSN.2016.7586649"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8875864"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/date51398.2021.9474092"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/3701067"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-0761-4_91"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.1994.363804"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2016.04.023"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.10.027"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2011.08.013"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.11.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.11.009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2003.1218259"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.02.131"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2010.2099114"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2598528"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-011-0246-9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2008.928225"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2003.1261218"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2003.808817"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/78.852023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2106250"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2291625"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2013.08.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jare.2015.07.002"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2013.05.009"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2012.06.039"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46885-4_40"},{"key":"ref39","first-page":"39","volume-title":"More Scrambling & Descrambling Techniques, Video Scrambling & Descrambling: For Satellite & Cable TV","author":"Graf","year":"1999"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48184-2_35"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396392"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2017.3051512"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2008.01.003"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2489178"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.2004.0803"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2010.09.014"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2009.5201116"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2009.5386460"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.017"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2162290"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2014.03.016"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2886779"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2011.12.015"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.11.021"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref56","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref58","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. ICLR","author":"Kingma"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(96)83696-3"},{"issue":"2","key":"ref60","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"Bergstra","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref61","first-page":"1","article-title":"Understanding the difficulty of training deep feedforward Neural Networks","volume-title":"Proc. AISTATS","author":"Glorot"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2015.03.022"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2014.11.017"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3116468"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09875256.pdf?arnumber=9875256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:43:00Z","timestamp":1706791380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9875256\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3204175","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}