{"id":"https://openalex.org/W3155153754","doi":"https://doi.org/10.1145/3445970.3456285","title":"Large Feature Mining and Deep Learning in Multimedia Forensics","display_name":"Large Feature Mining and Deep Learning in Multimedia Forensics","publication_year":2021,"publication_date":"2021-04-10","ids":{"openalex":"https://openalex.org/W3155153754","doi":"https://doi.org/10.1145/3445970.3456285","mag":"3155153754"},"language":"en","primary_location":{"id":"doi:10.1145/3445970.3456285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445970.3456285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics","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/A5100746642","display_name":"Qingzhong Liu","orcid":"https://orcid.org/0000-0002-2006-5413"},"institutions":[{"id":"https://openalex.org/I191429286","display_name":"Sam Houston State University","ror":"https://ror.org/00yh3cz06","country_code":"US","type":"education","lineage":["https://openalex.org/I191429286"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingzhong Liu","raw_affiliation_strings":["Sam Houston State University, Huntsville, TX, USA"],"affiliations":[{"raw_affiliation_string":"Sam Houston State University, Huntsville, TX, USA","institution_ids":["https://openalex.org/I191429286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074365744","display_name":"Naciye Celebi","orcid":null},"institutions":[{"id":"https://openalex.org/I191429286","display_name":"Sam Houston State University","ror":"https://ror.org/00yh3cz06","country_code":"US","type":"education","lineage":["https://openalex.org/I191429286"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naciye Celebi","raw_affiliation_strings":["Sam Houston State University, Huntsville, TX, USA"],"affiliations":[{"raw_affiliation_string":"Sam Houston State University, Huntsville, TX, USA","institution_ids":["https://openalex.org/I191429286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100746642"],"corresponding_institution_ids":["https://openalex.org/I191429286"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4621732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9979000091552734,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8440999984741211},{"id":"https://openalex.org/keywords/steganalysis","display_name":"Steganalysis","score":0.8230791091918945},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6543899774551392},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.579565167427063},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5520131587982178},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.550009548664093},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48289060592651367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4697321653366089},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4534684121608734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44229018688201904},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.42707934975624084},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3818579912185669},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34032565355300903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8440999984741211},{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.8230791091918945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6543899774551392},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.579565167427063},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5520131587982178},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.550009548664093},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48289060592651367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4697321653366089},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4534684121608734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44229018688201904},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.42707934975624084},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3818579912185669},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34032565355300903},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3445970.3456285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445970.3456285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2036190666","https://openalex.org/W2561315210","https://openalex.org/W2883645873","https://openalex.org/W6659512022"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W3154843532","https://openalex.org/W2160587766","https://openalex.org/W2241212938","https://openalex.org/W2357125417","https://openalex.org/W1529294424"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,22],"the":[3,78,90,110],"most":[4],"interesting":[5],"areas":[6],"in":[7,35,44,48,54,64,74],"cyber":[8],"forensics,":[9,46,50],"multimedia":[10,36,45],"forensics":[11],"faces":[12],"many":[13],"challenges":[14],"as":[15],"users":[16],"are":[17,32],"generating":[18],"a":[19],"humongous":[20],"amount":[21],"data":[23],"with":[24,61,77],"different":[25],"operations.":[26,81],"Forgery":[27],"detection":[28,31,103,111],"and":[29,71,88,98,104],"steganography":[30],"two":[33],"hotspots":[34],"forensics.":[37],"To":[38],"solve":[39],"some":[40],"highly":[41],"challenging":[42],"problems":[43],"especially":[47],"image":[49,65,101,105],"we":[51],"will":[52,83],"introduce":[53,85],"this":[55],"tutorial":[56],"large":[57],"feature":[58],"mining-based":[59],"approaches":[60],"ensemble":[62],"learning":[63,87,93],"forgery":[66,70,73,102],"detection,":[67],"including":[68],"seam-carving":[69],"inpainting":[72],"JPEG":[75],"images":[76],"subsequent":[79],"anti-forensics'":[80],"We":[82],"also":[84],"deep":[86,92],"apply":[89],"well-known":[91],"models":[94],"that":[95],"were":[96],"transferred":[97],"used":[99],"for":[100],"steganalysis,":[106],"which":[107],"considerably":[108],"improve":[109],"accuracy.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
