{"id":"https://openalex.org/W4408396701","doi":"https://doi.org/10.1109/tdsc.2025.3528062","title":"Evading Detection Actively: Toward Anti-Forensics Against Forgery Localization","display_name":"Evading Detection Actively: Toward Anti-Forensics Against Forgery Localization","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4408396701","doi":"https://doi.org/10.1109/tdsc.2025.3528062"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3528062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3528062","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5039105857","display_name":"Long Zhuo","orcid":"https://orcid.org/0000-0003-1507-3360"},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhuo","raw_affiliation_strings":["Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1507-3360","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4388482657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057388712","display_name":"Shenghai Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghai Luo","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023503629","display_name":"Shunquan Tan","orcid":"https://orcid.org/0000-0002-7457-3691"},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunquan Tan","raw_affiliation_strings":["Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7457-3691","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4388482657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012037644","display_name":"Han Chen","orcid":"https://orcid.org/0000-0002-9510-4923"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Chen","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365163","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-2613-5451"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2613-5451","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047964483","display_name":"Jiwu Huang","orcid":"https://orcid.org/0000-0002-7625-5689"},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwu Huang","raw_affiliation_strings":["Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7625-5689","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4388482657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03255789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"852","last_page":"869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9915000200271606,"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":0.9915000200271606,"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":0.9840999841690063,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9330000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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-security","display_name":"Computer security","score":0.6808158159255981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506994366645813},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.47140124440193176},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.4653549790382385}],"concepts":[{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6808158159255981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506994366645813},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.47140124440193176},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.4653549790382385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2025.3528062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3528062","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3775595010","display_name":null,"funder_award_id":"62272314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7142034960","display_name":null,"funder_award_id":"U23B2022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W262444076","https://openalex.org/W1570958768","https://openalex.org/W1901129140","https://openalex.org/W1985705604","https://openalex.org/W2034365297","https://openalex.org/W2044465660","https://openalex.org/W2081060147","https://openalex.org/W2087361987","https://openalex.org/W2148685281","https://openalex.org/W2159244236","https://openalex.org/W2169439181","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2220781736","https://openalex.org/W2243397390","https://openalex.org/W2296568210","https://openalex.org/W2343848059","https://openalex.org/W2518397542","https://openalex.org/W2548506527","https://openalex.org/W2746600820","https://openalex.org/W2774322245","https://openalex.org/W2774644650","https://openalex.org/W2902302451","https://openalex.org/W2911605501","https://openalex.org/W2912648825","https://openalex.org/W2915463112","https://openalex.org/W2948407537","https://openalex.org/W2963163009","https://openalex.org/W2963448658","https://openalex.org/W2963857521","https://openalex.org/W2964146055","https://openalex.org/W2985705680","https://openalex.org/W3012075496","https://openalex.org/W3013520104","https://openalex.org/W3013689826","https://openalex.org/W3027377338","https://openalex.org/W3034530968","https://openalex.org/W3082623289","https://openalex.org/W3092312525","https://openalex.org/W3140970613","https://openalex.org/W3149698721","https://openalex.org/W3179308556","https://openalex.org/W3185067909","https://openalex.org/W3196036588","https://openalex.org/W4285304173","https://openalex.org/W4316036216","https://openalex.org/W4321352114","https://openalex.org/W4380320171","https://openalex.org/W4386075803","https://openalex.org/W4386075856","https://openalex.org/W6604756355","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6729756640"],"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":{"Anti-forensics":[0],"seeks":[1],"to":[2,15,22,30,41,65,72,80,93,153,171,180],"eliminate":[3],"or":[4,85],"conceal":[5],"traces":[6],"of":[7,26,33,200],"tampering":[8,173],"artifacts.":[9],"Typically,":[10],"anti-forensic":[11,143],"methods":[12,56,225],"are":[13,113],"designed":[14],"deceive":[16,42],"binary":[17],"detectors":[18,44],"and":[19,49,135,175,203],"persuade":[20],"them":[21],"misjudge":[23],"the":[24,31,46,66,76,100,109,116,124,198,209,218],"authenticity":[25],"an":[27],"image.":[28],"However,":[29],"best":[32],"our":[34],"knowledge,":[35],"no":[36],"attempts":[37],"have":[38,185],"been":[39],"made":[40],"forgery":[43,62,146,165,211],"at":[45],"pixel":[47],"level":[48],"mis-locate":[50],"forged":[51,86],"regions.":[52],"Traditional":[53],"adversarial":[54,136,160,204,223],"attack":[55,224],"cannot":[57],"be":[58,94],"directly":[59],"used":[60],"against":[61,145],"localization":[63,166,212],"due":[64],"following":[67],"defects:":[68],"1)":[69],"they":[70,105],"tend":[71],"just":[73],"naively":[74],"induce":[75],"target":[77,110],"forensic":[78,102,111],"models":[79,112,144],"flip":[81],"their":[82,89],"pixel-level":[83],"pristine":[84],"decisions;":[87],"2)":[88],"anti-forensics":[90,117],"performance":[91],"tends":[92],"severely":[95],"degraded":[96],"when":[97],"faced":[98],"with":[99,115],"unseen":[101],"models;":[103],"3)":[104],"lose":[106],"validity":[107],"once":[108],"retrained":[114],"images":[118],"generated":[119],"by":[120],"them.":[121],"To":[122],"tackle":[123,217],"three":[125,219],"defects,":[126],"we":[127],"propose":[128],"SEAR":[129,148,162,206],"(Self-supErvised":[130],"Anti-foRensics),":[131],"a":[132,150,164,169,177],"novel":[133],"self-supervised":[134,157,201],"training":[137],"algorithm":[138],"that":[139],"effectively":[140],"trains":[141],"deep-learning":[142,178],"localization.":[147],"sets":[149],"pretext":[151],"task":[152],"reconstruct":[154],"perturbation":[155],"for":[156],"learning.":[158],"In":[159],"training,":[161],"employs":[163],"model":[167],"as":[168,214,216],"supervisor":[170],"explore":[172],"features":[174],"constructs":[176],"concealer":[179],"erase":[181],"corresponding":[182],"traces.":[183],"We":[184],"conducted":[186],"large-scale":[187],"experiments":[188],"across":[189],"diverse":[190],"datasets.":[191],"The":[192],"experimental":[193],"results":[194],"demonstrate":[195],"that,":[196],"through":[197],"combination":[199],"learning":[202],"learning,":[205],"successfully":[207],"deceives":[208],"state-of-the-art":[210],"methods,":[213],"well":[215],"defects":[220],"regarding":[221],"traditional":[222],"mentioned":[226],"above.":[227]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}