{"id":"https://openalex.org/W4415539876","doi":"https://doi.org/10.1145/3746027.3755680","title":"Analytic Synaptic Dynamic Scaling Balancer for Multimodal Deepfake Continual Detection","display_name":"Analytic Synaptic Dynamic Scaling Balancer for Multimodal Deepfake Continual Detection","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539876","doi":"https://doi.org/10.1145/3746027.3755680"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054344045","display_name":"Man Xiao","orcid":"https://orcid.org/0000-0003-1245-9487"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Xiao","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1245-9487","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016354306","display_name":"Jianbin Ye","orcid":"https://orcid.org/0000-0002-7055-3917"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Ye","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7055-3917","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050900731","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-9953-8438"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Strategic Assessments and Consultation Institute, Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9953-8438","affiliations":[{"raw_affiliation_string":"Strategic Assessments and Consultation Institute, Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016262505","display_name":"Zijian Gao","orcid":"https://orcid.org/0000-0001-5151-3381"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Gao","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5151-3381","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013340793","display_name":"Kele Xu","orcid":"https://orcid.org/0000-0001-5997-5169"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kele Xu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5997-5169","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115695468","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0001-8949-5967"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8949-5967","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11657","last_page":"11666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965000152587891,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9919000267982483,"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/discriminative-model","display_name":"Discriminative model","score":0.708899974822998},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.621999979019165},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5759000182151794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5239999890327454},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.40470001101493835},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.39309999346733093},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.38589999079704285},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3440999984741211},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.3418000042438507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044999837875366},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.708899974822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934000253677368},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5759000182151794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5486999750137329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4560342424","display_name":null,"funder_award_id":"ZZCX-ZZGC-01-04","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"}],"funders":[{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2560647685","https://openalex.org/W2899477876","https://openalex.org/W2963590343","https://openalex.org/W2964189064","https://openalex.org/W3168149265","https://openalex.org/W3178686235","https://openalex.org/W3206817819","https://openalex.org/W4319978495","https://openalex.org/W4322576470","https://openalex.org/W4360993864","https://openalex.org/W4366957254","https://openalex.org/W4385801058","https://openalex.org/W4386071484","https://openalex.org/W4386076652","https://openalex.org/W4386267173","https://openalex.org/W4386889783","https://openalex.org/W4386928847","https://openalex.org/W4387540674","https://openalex.org/W4387642931","https://openalex.org/W4388037272","https://openalex.org/W4388189737","https://openalex.org/W4390873759","https://openalex.org/W4391743267","https://openalex.org/W4392904083","https://openalex.org/W4399380497","https://openalex.org/W4400381156","https://openalex.org/W4400680576","https://openalex.org/W4401334851","https://openalex.org/W4403713311","https://openalex.org/W4403780752","https://openalex.org/W4403791261","https://openalex.org/W4403843404","https://openalex.org/W4403915994","https://openalex.org/W4403928048","https://openalex.org/W4409364420"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0,19],"deepfakes":[1],"pose":[2],"growing":[3],"security":[4],"threats":[5],"across":[6],"diverse":[7],"domains,":[8],"driven":[9],"by":[10,77,125],"rapid":[11],"advancements":[12],"in":[13,84,119,128,191],"generative":[14],"models.":[15],"This":[16],"demands":[17],"effective":[18],"Deepfake":[20],"Continual":[21],"Detection":[22],"(MDCD)":[23],"methods":[24],"capable":[25],"of":[26,49,56],"adapting":[27],"to":[28,102,113,141,161],"evolving":[29,121],"and":[30,60,105,144,165,189],"heterogeneous":[31],"deepfake":[32,64,117,175],"techniques.":[33],"However,":[34],"MDCD":[35],"remains":[36],"underexplored,":[37],"facing":[38],"two":[39],"major":[40],"challenges:":[41],"(1)":[42],"modality-specific":[43,103],"feature":[44,51],"disparities":[45],"limit":[46],"the":[47,54,93],"effectiveness":[48],"simple":[50],"fusion,":[52],"exacerbating":[53],"forgetting":[55],"previous":[57],"forgery-relevant":[58],"knowledge;":[59],"(2)":[61],"newly":[62],"introduced":[63],"videos":[65],"initially":[66],"exhibit":[67],"limited":[68],"scale":[69],"that":[70,100,137,178],"gradually":[71],"expand,":[72],"causing":[73],"class":[74,106,163],"imbalance":[75,107],"dominated":[76],"forged":[78],"samples,":[79],"undermines":[80],"authentic":[81,167],"content":[82],"understanding":[83],"comming":[85],"tasks.":[86],"To":[87],"address":[88],"these":[89],"issues,":[90],"we":[91],"propose":[92],"Analytic":[94],"Synaptic":[95],"Dynamic":[96],"Scaling":[97],"Balancer":[98],"(ADanser)":[99],"adapts":[101],"biases":[104],"while":[108],"employing":[109],"a":[110,132,153],"closed-form":[111],"update":[112],"preserve":[114],"prior":[115],"multimodal":[116,174],"knowledge":[118,150],"an":[120],"data":[122],"stream.":[123],"Inspired":[124],"synaptic":[126,134],"scaling":[127,135],"neuroscience,":[129],"ADanser":[130,179],"introduces":[131],"modality":[133],"mechanism":[136],"applies":[138],"modality-aware":[139],"attention":[140],"extract":[142],"discriminative":[143],"complementary":[145],"forgery":[146],"patterns,":[147],"improving":[148],"cross-modal":[149,193],"retention.":[151],"Additionally,":[152],"class-wise":[154],"contribution":[155],"balancer":[156],"dynamically":[157],"reweights":[158],"learning":[159,184],"signals":[160],"reduce":[162],"bias":[164],"enhance":[166],"video":[168],"representation.":[169],"Extensive":[170],"experiments":[171],"on":[172],"benchmark":[173],"datasets":[176],"demonstrate":[177],"significantly":[180],"outperforms":[181],"state-of-the-art":[182],"continual":[183],"methods,":[185],"effectively":[186],"coordinating":[187],"adaptation":[188],"retention":[190],"imbalanced,":[192],"scenarios.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}
