{"id":"https://openalex.org/W4386075878","doi":"https://doi.org/10.1109/cvpr52729.2023.01188","title":"MaLP: Manipulation Localization Using a Proactive Scheme","display_name":"MaLP: Manipulation Localization Using a Proactive Scheme","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386075878","doi":"https://doi.org/10.1109/cvpr52729.2023.01188"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5017788027","display_name":"Vishal Asnani","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vishal Asnani","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012540341","display_name":"Xi Yin","orcid":"https://orcid.org/0000-0002-7519-1978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Yin","raw_affiliation_strings":["Meta AI"],"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075765401","display_name":"Tal Hassner","orcid":"https://orcid.org/0000-0003-2275-1406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tal Hassner","raw_affiliation_strings":["Meta AI"],"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409052","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3215-8753"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017788027"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":2.0867,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89260237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12343","last_page":"12352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958999752998352,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.994700014591217,"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/pixel","display_name":"Pixel","score":0.7422615885734558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7408359050750732},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6936677694320679},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6799721717834473},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6760280132293701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6422984004020691},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5787539482116699},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.570193886756897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5350524187088013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5296335816383362},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.527820885181427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32302045822143555},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.13897296786308289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0700823962688446}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7422615885734558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408359050750732},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6936677694320679},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6799721717834473},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6760280132293701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6422984004020691},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5787539482116699},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.570193886756897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5350524187088013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5296335816383362},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.527820885181427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32302045822143555},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.13897296786308289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0700823962688446},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1945616565","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2737047298","https://openalex.org/W2768959015","https://openalex.org/W2792021479","https://openalex.org/W2939645724","https://openalex.org/W2952499146","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963444790","https://openalex.org/W2963767194","https://openalex.org/W2963857521","https://openalex.org/W2963890275","https://openalex.org/W2965128575","https://openalex.org/W2975558816","https://openalex.org/W2979433881","https://openalex.org/W2979800489","https://openalex.org/W2982058372","https://openalex.org/W2990269423","https://openalex.org/W3009495917","https://openalex.org/W3012472557","https://openalex.org/W3015341856","https://openalex.org/W3028481464","https://openalex.org/W3034196597","https://openalex.org/W3034577585","https://openalex.org/W3034600949","https://openalex.org/W3034625979","https://openalex.org/W3035063907","https://openalex.org/W3035398999","https://openalex.org/W3035575176","https://openalex.org/W3083246145","https://openalex.org/W3102726805","https://openalex.org/W3106333289","https://openalex.org/W3108281670","https://openalex.org/W3136675246","https://openalex.org/W3159890710","https://openalex.org/W3170867684","https://openalex.org/W3191805365","https://openalex.org/W3204971388","https://openalex.org/W3206071277","https://openalex.org/W3211024697","https://openalex.org/W4213222913","https://openalex.org/W4214582496","https://openalex.org/W4292828895","https://openalex.org/W4293846201","https://openalex.org/W4294643831","https://openalex.org/W4295312788","https://openalex.org/W4312388283","https://openalex.org/W4312388562","https://openalex.org/W4312460657","https://openalex.org/W4312497550","https://openalex.org/W4312605586","https://openalex.org/W4312740349","https://openalex.org/W4312753047","https://openalex.org/W4312933868","https://openalex.org/W4320013936","https://openalex.org/W4394647242","https://openalex.org/W6640425456","https://openalex.org/W6734074887","https://openalex.org/W6736756066","https://openalex.org/W6739868092","https://openalex.org/W6745560452","https://openalex.org/W6745992979","https://openalex.org/W6750298367","https://openalex.org/W6752944736","https://openalex.org/W6766978945","https://openalex.org/W6774628783","https://openalex.org/W6782358524","https://openalex.org/W6792424644","https://openalex.org/W6795104053","https://openalex.org/W6797334962","https://openalex.org/W6810138774","https://openalex.org/W6864218697"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W2118717649","https://openalex.org/W4319453655","https://openalex.org/W410723623","https://openalex.org/W2167883292","https://openalex.org/W2766091780"],"abstract_inverted_index":{"Advancements":[0],"in":[1,27,95],"the":[2,24,65,74,85,97,101,131,163],"generation":[3,164],"quality":[4,165],"of":[5,133,166],"various":[6],"Generative":[7],"Models":[8],"(GMs)":[9],"has":[10],"made":[11],"it":[12],"necessary":[13],"to":[14],"not":[15,87],"only":[16,88],"perform":[17],"binary":[18,90],"manipulation":[19,37,59,148],"detection":[20,91],"but":[21,92],"also":[22,93,129],"localize":[23],"modified":[25,99],"pixels":[26,98],"an":[28],"image.":[29],"However,":[30],"prior":[31,125],"works":[32],"termed":[33,61],"as":[34,158],"passive":[35,126],"for":[36,58,144,161],"localization":[38],"exhibit":[39],"poor":[40],"generalization":[41],"performance":[42],"over":[43],"unseen":[44],"GMs":[45],"and":[46,110],"attribute":[47],"modifications.":[48],"To":[49],"combat":[50],"this":[51,81],"issue,":[52],"we":[53,151],"propose":[54],"a":[55,70,115,142,159],"proactive":[56],"scheme":[57],"localization,":[60],"MaLP.":[62],"We":[63,118,128],"encrypt":[64],"real":[66],"images":[67],"by":[68,78,100,107,114,135],"adding":[69],"learned":[71,106],"template.":[72],"If":[73],"image":[75],"is":[76,105],"manipulated":[77],"any":[79],"GM,":[80],"added":[82],"protection":[83],"from":[84],"template":[86,104],"aids":[89],"helps":[94],"identifying":[96],"GM.":[102],"The":[103],"leveraging":[108],"local":[109],"global-level":[111],"features":[112],"estimated":[113],"two-branch":[116],"architecture.":[117],"show":[119,130,152],"that":[120,153],"MaLP":[121,134,154],"performs":[122],"better":[123],"than":[124],"works.":[127],"generalizability":[132],"testing":[136],"on":[137,147],"22":[138],"different":[139],"GMs,":[140],"providing":[141],"benchmark":[143],"future":[145],"research":[146],"localization.":[149],"Finally,":[150],"can":[155],"be":[156],"used":[157],"discriminator":[160],"improving":[162],"GMs.":[167],"Our":[168],"models/codes":[169],"are":[170],"available":[171],"at":[172],"www.github.com/vishal3477/pro_loc.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
