{"id":"https://openalex.org/W4312905041","doi":"https://doi.org/10.1109/mmsp55362.2022.9949122","title":"Adversarial Attack with Adaptive Gradient Variance for Deep Fake Fingerprint Detection","display_name":"Adversarial Attack with Adaptive Gradient Variance for Deep Fake Fingerprint Detection","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312905041","doi":"https://doi.org/10.1109/mmsp55362.2022.9949122"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949122","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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/A5103021040","display_name":"Chengsheng Yuan","orcid":"https://orcid.org/0000-0002-9497-6076"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengsheng Yuan","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology,Engineering Research Center of Digital Forensics, Ministry of Education,Nanjing,China,210044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology,Engineering Research Center of Digital Forensics, Ministry of Education,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022860233","display_name":"Baojie Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Cui","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology,Engineering Research Center of Digital Forensics, Ministry of Education,Nanjing,China,210044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology,Engineering Research Center of Digital Forensics, Ministry of Education,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3114,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53140737,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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/T10828","display_name":"Biometric Identification and Security","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7398558259010315},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6529976725578308},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6282846927642822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.624167799949646},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6012206673622131},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5549849271774292},{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.545233428478241},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5055797100067139},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4800240099430084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4607990086078644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4333764612674713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3488312065601349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3266659080982208},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20798563957214355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398558259010315},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6529976725578308},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6282846927642822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.624167799949646},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6012206673622131},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5549849271774292},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.545233428478241},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5055797100067139},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4800240099430084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4607990086078644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4333764612674713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3488312065601349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3266659080982208},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20798563957214355},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949122","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3056520705","display_name":null,"funder_award_id":"62102189,62122032","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":36,"referenced_works":["https://openalex.org/W1585778005","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2097117768","https://openalex.org/W2183341477","https://openalex.org/W2243397390","https://openalex.org/W2408587671","https://openalex.org/W2620038827","https://openalex.org/W2727966874","https://openalex.org/W2774644650","https://openalex.org/W2910603373","https://openalex.org/W2911634291","https://openalex.org/W2947996939","https://openalex.org/W2963542245","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2964350391","https://openalex.org/W2976752987","https://openalex.org/W2991079281","https://openalex.org/W3005950947","https://openalex.org/W3005991297","https://openalex.org/W3013854549","https://openalex.org/W3102159477","https://openalex.org/W3117574506","https://openalex.org/W3171288285","https://openalex.org/W3208614786","https://openalex.org/W4297775537","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6737664043","https://openalex.org/W6740446203","https://openalex.org/W6758666030","https://openalex.org/W6763496775","https://openalex.org/W6768366551"],"related_works":["https://openalex.org/W2794551535","https://openalex.org/W2577692961","https://openalex.org/W3000881101","https://openalex.org/W2575842296","https://openalex.org/W4291184180","https://openalex.org/W4365211642","https://openalex.org/W2103621928","https://openalex.org/W4303683349","https://openalex.org/W4323838249","https://openalex.org/W2586598673"],"abstract_inverted_index":{"In":[0,144],"recent":[1,30],"years,":[2],"fingerprint":[3,18,23,53,58,111],"liveness":[4],"detection":[5,59],"methods":[6,72],"based":[7],"on":[8,192],"deep":[9,56,109],"neural":[10],"networks":[11],"have":[12],"been":[13],"widely":[14],"used":[15],"in":[16,88,168],"various":[17],"recognition":[19],"systems,":[20],"such":[21],"as":[22,65],"locks":[24],"and":[25,189],"smart":[26],"phones,":[27],"etc.":[28],"However,":[29],"research":[31],"has":[32],"revealed":[33],"that":[34,175],"these":[35],"devices":[36],"are":[37],"vulnerable":[38],"to":[39,52,82,122,128,146,162,177],"the":[40,55,63,119,124,132,135,141,148,164,193,197],"spoofing":[41],"attack":[42,91,100,106,149,186,199],"of":[43,166,195],"adversarial":[44,90,99,169],"examples.":[45],"That":[46],"is,":[47],"adding":[48],"some":[49],"invisible":[50],"perturbations":[51],"image,":[54],"fake":[57,110],"network":[60,121],"may":[61],"misclassify":[62],"image":[64],"other":[66],"classes.":[67],"The":[68],"classical":[69],"example":[70,170],"generation":[71],"usually":[73],"adopt":[74],"gradient":[75,104,116,125,136,142,160],"optimization":[76],"method,":[77],"but":[78],"it":[79],"is":[80,138],"prone":[81],"falling":[83,130],"into":[84,131],"local":[85,133],"optimum,":[86,134],"resulting":[87],"poor":[89],"performance.":[92,200],"Accordingly,":[93],"this":[94],"paper":[95],"proposes":[96],"a":[97,183],"novel":[98],"method":[101,181],"called":[102],"adaptive":[103,154],"variance":[105],"(AGVA)":[107],"for":[108],"detection.":[112],"Firstly,":[113],"we":[114,151],"obtain":[115],"information":[117],"through":[118],"target":[120],"calculate":[123],"variance.":[126,143],"Then,":[127],"avoid":[129],"direction":[137],"optimized":[139],"by":[140],"particular,":[145],"improve":[147],"performance,":[150],"propose":[152],"an":[153],"hyper-parameter":[155],"search":[156,163],"algorithm":[157],"using":[158],"stochastic":[159],"ascent":[161],"value":[165],"hyper-parameters":[167],"generation.":[171],"Experimental":[172],"results":[173],"show":[174],"compared":[176],"existing":[178],"methods,":[179],"our":[180],"achieves":[182],"better":[184],"black-box":[185],"success":[187],"rate":[188],"higher":[190],"robustness":[191],"basis":[194],"ensuring":[196],"white-box":[198]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
