{"id":"https://openalex.org/W3016191659","doi":"https://doi.org/10.1109/icassp40776.2020.9053318","title":"Effectiveness of Random Deep Feature Selection for Securing Image Manipulation Detectors Against Adversarial Examples","display_name":"Effectiveness of Random Deep Feature Selection for Securing Image Manipulation Detectors Against Adversarial Examples","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016191659","doi":"https://doi.org/10.1109/icassp40776.2020.9053318","mag":"3016191659"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007836692","display_name":"Mauro Barni","orcid":"https://orcid.org/0000-0002-7368-0866"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Barni","raw_affiliation_strings":["Department of Information Engineering and Mathematics, University of Siena, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematics, University of Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014302355","display_name":"Ehsan Nowroozi","orcid":"https://orcid.org/0000-0002-5714-8378"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E. Nowroozi","raw_affiliation_strings":["Department of Information Engineering and Mathematics, University of Siena, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematics, University of Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026139768","display_name":"Benedetta Tondi","orcid":"https://orcid.org/0000-0002-7518-046X"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"B. Tondi","raw_affiliation_strings":["Department of Information Engineering and Mathematics, University of Siena, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematics, University of Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037362392","display_name":"B. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"B. Zhang","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007836692"],"corresponding_institution_ids":["https://openalex.org/I102064193"],"apc_list":null,"apc_paid":null,"fwci":1.6609,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86139679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2977","last_page":"2981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7819034457206726},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7049349546432495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381755471229553},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.625184953212738},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6197645664215088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5853724479675293},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5527141690254211},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5360754728317261},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46782416105270386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45838990807533264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3572072386741638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35194313526153564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819034457206726},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7049349546432495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381755471229553},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.625184953212738},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6197645664215088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5853724479675293},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5527141690254211},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5360754728317261},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46782416105270386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45838990807533264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3572072386741638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35194313526153564},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:usiena-air.unisi.it:11365/1127175","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/1127175","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2031466562","https://openalex.org/W2055745001","https://openalex.org/W2095657345","https://openalex.org/W2106663508","https://openalex.org/W2408141691","https://openalex.org/W2412509443","https://openalex.org/W2460937040","https://openalex.org/W2735607295","https://openalex.org/W2738082853","https://openalex.org/W2766825913","https://openalex.org/W2787708942","https://openalex.org/W2796791899","https://openalex.org/W2798117183","https://openalex.org/W2806156052","https://openalex.org/W2903213484","https://openalex.org/W2962738629","https://openalex.org/W2962972208","https://openalex.org/W2963143631","https://openalex.org/W2963178695","https://openalex.org/W2963207607","https://openalex.org/W2963920068","https://openalex.org/W2963928176","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W4293846201","https://openalex.org/W4300511536","https://openalex.org/W6637162671","https://openalex.org/W6719080892"],"related_works":["https://openalex.org/W2161221533","https://openalex.org/W1666484574","https://openalex.org/W2216382288","https://openalex.org/W2355491300","https://openalex.org/W4234629551","https://openalex.org/W1534779234","https://openalex.org/W2011110943","https://openalex.org/W2011433332","https://openalex.org/W2582594227","https://openalex.org/W4210532226"],"abstract_inverted_index":{"We":[0],"investigate":[1],"if":[2],"the":[3,13,35,66,70,74,120,123,128,134,137],"random":[4,63],"feature":[5,106],"selection":[6],"approach":[7],"proposed":[8],"in":[9,115],"[1]":[10],"to":[11,18,24,47,109,132],"improve":[12],"robustness":[14],"of":[15,37,65,73,102,122,136],"forensic":[16],"detectors":[17,25,49],"targeted":[19],"attacks,":[20,103],"can":[21],"be":[22],"extended":[23],"based":[26],"on":[27,61],"deep":[28],"learning":[29],"features.":[30],"In":[31],"particular,":[32],"we":[33,79],"study":[34],"transferability":[36,135],"adversarial":[38],"examples":[39],"targeting":[40],"an":[41],"original":[42,75,96],"CNN":[43],"image":[44,84],"manipulation":[45,85],"detector":[46,129],"other":[48],"(a":[50],"fully":[51],"connected":[52],"neural":[53],"network":[54,97],"and":[55,91,99],"a":[56,62],"linear":[57],"SVM)":[58],"that":[59,105],"rely":[60],"subset":[64],"features":[67],"extracted":[68],"from":[69],"flatten":[71],"layer":[72],"network.":[76],"The":[77],"results":[78],"got":[80],"by":[81],"considering":[82],"three":[83,100],"detection":[86],"tasks":[87],"(resizing,":[88],"median":[89],"filtering":[90],"adaptive":[92],"histogram":[93],"equalization),":[94],"two":[95],"architectures":[98],"classes":[101],"show":[104],"randomization":[107],"helps":[108],"hinder":[110],"attack":[111],"transferability,":[112],"even":[113,126],"if,":[114],"some":[116],"cases,":[117],"simply":[118],"changing":[119],"architecture":[121],"detector,":[124],"or":[125],"retraining":[127],"is":[130],"enough":[131],"prevent":[133],"attacks.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}