{"id":"https://openalex.org/W4412446713","doi":"https://doi.org/10.1109/dsp65409.2025.11075024","title":"MGAMNET: A Mask-Guided Attention Network for Deepfake Detection","display_name":"MGAMNET: A Mask-Guided Attention Network for Deepfake Detection","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4412446713","doi":"https://doi.org/10.1109/dsp65409.2025.11075024"},"language":"en","primary_location":{"id":"doi:10.1109/dsp65409.2025.11075024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11075024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/DSP65409.2025.11075024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094056092","display_name":"Vazgken Vanian","orcid":"https://orcid.org/0000-0002-2150-3446"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vazgken Vanian","raw_affiliation_strings":["Centre for Research and Technology Hellas,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075090284","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u03a0\u03b5\u03c4\u03bc\u03b5\u03b6\u03ac\u03c2","orcid":"https://orcid.org/0000-0002-3371-569X"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Petmezas","raw_affiliation_strings":["Centre for Research and Technology Hellas,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118911341","display_name":"Eleana E. I. Almaloglou","orcid":"https://orcid.org/0009-0000-5886-0765"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eleana E.I. Almaloglou","raw_affiliation_strings":["Centre for Research and Technology Hellas,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059708050","display_name":"Dimitrios Zarpalas","orcid":"https://orcid.org/0000-0002-9649-9306"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Zarpalas","raw_affiliation_strings":["Centre for Research and Technology Hellas,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Centre for Research and Technology Hellas,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5094056092"],"corresponding_institution_ids":["https://openalex.org/I4210134249"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19575153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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":0.7218519449234009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218519449234009}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsp65409.2025.11075024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11075024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:17235211","is_oa":true,"landing_page_url":"https://doi.org/10.1109/DSP65409.2025.11075024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/preprint"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:17235211","is_oa":true,"landing_page_url":"https://doi.org/10.1109/DSP65409.2025.11075024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2009130368","https://openalex.org/W2412509443","https://openalex.org/W2531409750","https://openalex.org/W2603123944","https://openalex.org/W2786289897","https://openalex.org/W2891145043","https://openalex.org/W2963684180","https://openalex.org/W2982058372","https://openalex.org/W3017837134","https://openalex.org/W3173581984","https://openalex.org/W3210891087","https://openalex.org/W4200307116","https://openalex.org/W4213449918","https://openalex.org/W4283528962","https://openalex.org/W4286742149","https://openalex.org/W4307955901","https://openalex.org/W4312472072","https://openalex.org/W4313127140","https://openalex.org/W4390874333","https://openalex.org/W6850108559"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"rapid":[1],"advancement":[2],"of":[3],"deepfake":[4,56],"generation":[5],"techniques":[6],"poses":[7],"increasing":[8],"risks":[9],"to":[10,29,72,98],"security":[11],"and":[12,41,85],"privacy.":[13],"Existing":[14],"detection":[15,57,95],"methods":[16],"primarily":[17],"focus":[18],"on":[19],"identifying":[20],"artifacts":[21,27],"in":[22,32],"syn-thesized":[23],"content,":[24],"however":[25],"these":[26],"tend":[28],"be":[30],"concentrated":[31],"specific":[33],"facial":[34,42,80,110],"regions,":[35,81],"such":[36],"as":[37],"the":[38,63,74,77],"eyes,":[39],"mouth":[40],"boundaries.":[43],"In":[44],"this":[45],"work,":[46],"we":[47],"introduce":[48],"MGAMNET,":[49],"a":[50],"mask-guided":[51],"attention":[52,70,105],"network":[53,75],"that":[54,91,107],"enhances":[55,94],"by":[58],"in-tegrating":[59],"face":[60],"segmentation":[61],"into":[62],"learning":[64],"process.":[65],"Our":[66],"method":[67],"utilizes":[68],"segmentation-driven":[69],"maps":[71,106],"guide":[73],"toward":[76],"most":[78],"informative":[79,104],"improving":[82],"feature":[83],"extraction":[84],"classification":[86],"performance.":[87],"Experimental":[88],"results":[89],"demonstrate":[90],"MGAMNET":[92],"significantly":[93],"accuracy":[96],"compared":[97],"baseline":[99],"models,":[100],"while":[101],"also":[102],"providing":[103],"highlight":[108],"key":[109],"areas.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
