{"id":"https://openalex.org/W4385436273","doi":"https://doi.org/10.48550/arxiv.2307.15105","title":"Detecting Morphing Attacks via Continual Incremental Training","display_name":"Detecting Morphing Attacks via Continual Incremental Training","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385436273","doi":"https://doi.org/10.48550/arxiv.2307.15105"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.15105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2307.15105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055536268","display_name":"Lorenzo Pellegrini","orcid":"https://orcid.org/0000-0002-7680-8116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pellegrini, Lorenzo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054837437","display_name":"Guido Borghi","orcid":"https://orcid.org/0000-0003-2441-7524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borghi, Guido","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028040068","display_name":"Annalisa Franco","orcid":"https://orcid.org/0000-0002-6625-6442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franco, Annalisa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027196976","display_name":"Davide Maltoni","orcid":"https://orcid.org/0000-0002-6329-6756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maltoni, Davide","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9806,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9554,"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/morphing","display_name":"Morphing","score":0.86879754},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.54224175},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental Learning","score":0.49898124},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49815798},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.47919333},{"id":"https://openalex.org/keywords/parametrization","display_name":"Parametrization (atmospheric modeling)","score":0.4459058}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.86879754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82054454},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6378507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5770588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56739056},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.54224175},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5114628},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.50187206},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.49898124},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49815798},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.47919333},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.45303097},{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.4459058},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.147906},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.15105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2307.15105","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.15105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391158518","https://openalex.org/W4382021137","https://openalex.org/W4381322349","https://openalex.org/W4297634446","https://openalex.org/W4287067590","https://openalex.org/W3192176272","https://openalex.org/W3186262193","https://openalex.org/W3157400488","https://openalex.org/W3085307110","https://openalex.org/W2892655153"],"abstract_inverted_index":{"Scenarios":[0],"in":[1,4,81,86,92,104,153],"which":[2],"restrictions":[3],"data":[5,21,75,170],"transfer":[6],"and":[7,85,151,157],"storage":[8],"limit":[9],"the":[10,31,41,97,143,165],"possibility":[11],"to":[12,24,52,164],"compose":[13],"a":[14,26,61,69,108,116,131],"single":[15],"dataset":[16],"--":[17,23],"also":[18],"exploiting":[19],"different":[20,100],"sources":[22],"perform":[25],"batch-based":[27],"training":[28,83,169],"procedure,":[29],"make":[30],"development":[32],"of":[33,64,99,119,122,142,167],"robust":[34],"models":[35],"particularly":[36],"challenging.":[37],"We":[38],"hypothesize":[39],"that":[40,67,111,130,171],"recent":[42],"Continual":[43,101],"Learning":[44,102,136],"(CL)":[45],"paradigm":[46],"may":[47],"represent":[48],"an":[49],"effective":[50],"solution":[51],"enable":[53],"incremental":[54],"training,":[55],"even":[56,121],"through":[57],"multiple":[58],"sites.":[59],"Indeed,":[60],"basic":[62],"assumption":[63],"CL":[65,133],"is":[66,112,125,140],"once":[68],"model":[70,110],"has":[71],"been":[72],"trained,":[73],"old":[74],"can":[76,88],"no":[77],"longer":[78],"be":[79,89],"used":[80],"successive":[82],"iterations":[84],"principle":[87],"deleted.":[90],"Therefore,":[91],"this":[93,105],"paper,":[94],"we":[95,147],"investigate":[96,148],"performance":[98],"methods":[103],"scenario,":[106],"simulating":[107],"learning":[109],"updated":[113],"every":[114],"time":[115],"new":[117,168],"chunk":[118],"data,":[120],"variable":[123],"size,":[124],"available.":[126,173],"Experimental":[127],"results":[128],"reveal":[129],"particular":[132],"method,":[134],"namely":[135],"without":[137],"Forgetting":[138],"(LwF),":[139],"one":[141],"best-performing":[144],"algorithms.":[145],"Then,":[146],"its":[149],"usage":[150],"parametrization":[152],"Morphing":[154],"Attack":[155],"Detection":[156],"Object":[158],"Classification":[159],"tasks,":[160],"specifically":[161],"with":[162],"respect":[163],"amount":[166],"became":[172]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385436273","counts_by_year":[],"updated_date":"2025-02-23T00:56:25.950190","created_date":"2023-08-01"}