{"id":"https://openalex.org/W3199879043","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533733","title":"GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks","display_name":"GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199879043","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533733","mag":"3199879043"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5089048868","display_name":"Gurinder Singh","orcid":"https://orcid.org/0000-0002-1325-9164"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gurinder Singh","raw_affiliation_strings":["Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Ropar,Punjab,India","Indian Institute of Technology Ropar, Ropar, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Ropar,Punjab,India","institution_ids":["https://openalex.org/I119241673"]},{"raw_affiliation_string":"Indian Institute of Technology Ropar, Ropar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083836357","display_name":"Puneet Goyal","orcid":"https://orcid.org/0000-0002-6196-9347"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puneet Goyal","raw_affiliation_strings":["Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Ropar,Punjab,India","Indian Institute of Technology Ropar, Ropar, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Ropar,Punjab,India","institution_ids":["https://openalex.org/I119241673"]},{"raw_affiliation_string":"Indian Institute of Technology Ropar, Ropar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089048868"],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60995098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T13877","display_name":"Law in Society and Culture","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9843000173568726,"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":0.8283742666244507},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6728583574295044},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6557430028915405},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.5792139768600464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5730681419372559},{"id":"https://openalex.org/keywords/network-forensics","display_name":"Network forensics","score":0.547737181186676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5153316855430603},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.478658527135849},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4156743884086609},{"id":"https://openalex.org/keywords/computer-forensics","display_name":"Computer forensics","score":0.4124554991722107},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.41144317388534546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3616899251937866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3391127586364746},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28152984380722046},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.168992280960083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07572832703590393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8283742666244507},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6728583574295044},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6557430028915405},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.5792139768600464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5730681419372559},{"id":"https://openalex.org/C50747538","wikidata":"https://www.wikidata.org/wiki/Q7001032","display_name":"Network forensics","level":3,"score":0.547737181186676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5153316855430603},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.478658527135849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4156743884086609},{"id":"https://openalex.org/C556601545","wikidata":"https://www.wikidata.org/wiki/Q878553","display_name":"Computer forensics","level":3,"score":0.4124554991722107},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.41144317388534546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3616899251937866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3391127586364746},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28152984380722046},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.168992280960083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07572832703590393},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G6357988464","display_name":null,"funder_award_id":"9-231/2016/IIT-RPR/1395","funder_id":"https://openalex.org/F4320320712","funder_display_name":"Indian Institute of Technology Kanpur"}],"funders":[{"id":"https://openalex.org/F4320320712","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1973629749","https://openalex.org/W1975528596","https://openalex.org/W1980745118","https://openalex.org/W1994743750","https://openalex.org/W2007994968","https://openalex.org/W2009130368","https://openalex.org/W2019716459","https://openalex.org/W2028384798","https://openalex.org/W2031466562","https://openalex.org/W2044669911","https://openalex.org/W2045719604","https://openalex.org/W2046686077","https://openalex.org/W2070484489","https://openalex.org/W2074727269","https://openalex.org/W2084252081","https://openalex.org/W2096933452","https://openalex.org/W2106663508","https://openalex.org/W2115707751","https://openalex.org/W2118053687","https://openalex.org/W2133436437","https://openalex.org/W2136986582","https://openalex.org/W2145915941","https://openalex.org/W2153635508","https://openalex.org/W2155084545","https://openalex.org/W2155180118","https://openalex.org/W2158071928","https://openalex.org/W2162156567","https://openalex.org/W2220781736","https://openalex.org/W2322622188","https://openalex.org/W2412509443","https://openalex.org/W2540777860","https://openalex.org/W2554158934","https://openalex.org/W2619516334","https://openalex.org/W2798117183","https://openalex.org/W2893230499","https://openalex.org/W2919940880","https://openalex.org/W2963208657","https://openalex.org/W2963446712","https://openalex.org/W3090555730","https://openalex.org/W3147283921","https://openalex.org/W4255023712","https://openalex.org/W6655480541","https://openalex.org/W6679749329","https://openalex.org/W6729042793","https://openalex.org/W6738491991"],"related_works":["https://openalex.org/W4238452393","https://openalex.org/W2489557937","https://openalex.org/W2161391695","https://openalex.org/W3018602826","https://openalex.org/W2480188389","https://openalex.org/W4240498326","https://openalex.org/W4283205458","https://openalex.org/W4385257722","https://openalex.org/W2972427363","https://openalex.org/W2067681493"],"abstract_inverted_index":{"The":[0,94,117],"digital":[1],"image":[2,23,59,164],"information":[3,112],"can":[4],"be":[5],"easily":[6],"tampered":[7],"to":[8,44],"harm":[9],"the":[10,16,27,42,115,123,127],"integrity":[11],"of":[12,21,26,56,151],"someone.":[13],"Thus,":[14],"recognizing":[15],"truthfulness":[17],"and":[18,80,97,153,158],"processing":[19],"history":[20],"an":[22],"is":[24,61,73],"one":[25],"essential":[28],"concerns":[29],"in":[30],"multimedia":[31],"forensics.":[32],"Numerous":[33],"forensic":[34,53,131],"methods":[35],"have":[36],"been":[37],"developed":[38],"by":[39,87,102],"researchers":[40],"with":[41],"ability":[43],"detect":[45],"targeted":[46],"editing":[47],"operations.":[48],"But,":[49],"creating":[50],"a":[51,63,69],"unified":[52],"approach":[54],"capable":[55],"detecting":[57],"multiple":[58,163],"manipulations":[60],"still":[62],"challenging":[64],"problem.":[65],"In":[66],"this":[67],"paper,":[68],"new":[70],"GIMD":[71],"network":[72,95],"designed":[74],"that":[75,122],"exploits":[76],"local":[77],"dense":[78,91,105],"connections":[79],"global":[81],"residual":[82,90,104],"learning":[83],"for":[84,110,156,162],"better":[85,111],"classification":[86],"using":[88],"robust":[89],"blocks":[92,106],"(RDBs).":[93],"input":[96],"high-level":[98],"hierarchical":[99],"features":[100],"produced":[101],"proposed":[103,124],"are":[107],"fused":[108],"globally":[109],"flow":[113],"across":[114],"network.":[116],"extensive":[118],"experiment":[119],"results":[120],"show":[121],"scheme":[125],"outperforms":[126],"existing":[128],"state-of-the-art":[129],"general-purpose":[130],"schemes":[132],"even":[133],"under":[134],"anti-forensic":[135],"attacks,":[136],"when":[137],"tested":[138],"on":[139],"large":[140],"scale":[141],"publicly":[142],"available":[143],"datasets.":[144],"Our":[145],"model":[146],"offers":[147],"overall":[148],"detection":[149],"accuracies":[150],"95.09%":[152],"97.31":[154],"%":[155],"BOSSBase":[157],"Dresden":[159],"datasets,":[160],"respectively":[161],"manipulation":[165],"detection.":[166]},"counts_by_year":[{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
