{"id":"https://openalex.org/W4411189108","doi":"https://doi.org/10.1007/s40747-025-01939-0","title":"A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security","display_name":"A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4411189108","doi":"https://doi.org/10.1007/s40747-025-01939-0"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01939-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01939-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01939-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01939-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100783739","display_name":"Qing Huang","orcid":"https://orcid.org/0000-0002-8884-2063"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Huang","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110645750","display_name":"Hanghang Deng","orcid":"https://orcid.org/0009-0002-0790-6836"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongli Deng","raw_affiliation_strings":["Education and Information Technology Center, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"Education and Information Technology Center, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078516264","display_name":"Junxiang Wang","orcid":"https://orcid.org/0000-0003-4371-6212"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxiang Wang","raw_affiliation_strings":["School of Electronic Information Engineering, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781510","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0003-1094-5617"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101622993","display_name":"Bochuan Zheng","orcid":"https://orcid.org/0000-0003-4495-8299"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bochuan Zheng","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110645750"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06236151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9606999754905701,"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":0.9606999754905701,"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/T12676","display_name":"Machine Learning and ELM","score":0.9452999830245972,"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/T11243","display_name":"Respiratory viral infections research","score":0.9269000291824341,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8034002780914307},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6847047805786133},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5377962589263916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505826473236084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44447624683380127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33081841468811035}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8034002780914307},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6847047805786133},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5377962589263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505826473236084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44447624683380127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33081841468811035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-01939-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01939-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01939-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5afd2f0f702493582510661516aff92","is_oa":true,"landing_page_url":"https://doaj.org/article/f5afd2f0f702493582510661516aff92","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 8, Pp 1-27 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01939-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01939-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01939-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3439715140","display_name":null,"funder_award_id":"KCXTD2022-3","funder_id":"https://openalex.org/F4320324420","funder_display_name":"China West Normal University"}],"funders":[{"id":"https://openalex.org/F4320324420","display_name":"China West Normal University","ror":"https://ror.org/04s99y476"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411189108.pdf","grobid_xml":"https://content.openalex.org/works/W4411189108.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2146634731","https://openalex.org/W2165698076","https://openalex.org/W2395579298","https://openalex.org/W2533598788","https://openalex.org/W2593676900","https://openalex.org/W2799903018","https://openalex.org/W2807363941","https://openalex.org/W2888233014","https://openalex.org/W2930246464","https://openalex.org/W2985913519","https://openalex.org/W3004578474","https://openalex.org/W3035037193","https://openalex.org/W3085674933","https://openalex.org/W3128873393","https://openalex.org/W3176064809","https://openalex.org/W3196078976","https://openalex.org/W3213797046","https://openalex.org/W4206696802","https://openalex.org/W4284678610","https://openalex.org/W4360855967","https://openalex.org/W4384302776","https://openalex.org/W4390101428","https://openalex.org/W4391589287","https://openalex.org/W4394992698"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694"],"abstract_inverted_index":{"Redundant":[0],"weights":[1,12,24],"bring":[2],"security":[3],"risks":[4],"to":[5,9,50,130,160,165,174,199,213,236],"transfer":[6,20,61,75],"learning,":[7],"how":[8],"remove":[10],"redundant":[11,23],"effectively":[13],"is":[14],"an":[15,70,100,107,119,132],"important":[16],"research":[17],"topic":[18],"in":[19,82,192],"learning.":[21,62],"Currently,":[22],"are":[25,158],"removed":[26],"mainly":[27],"through":[28],"pruning":[29],"algorithms":[30],"designed":[31],"by":[32,79,208,243],"correlating":[33],"student":[34,97,162],"data":[35],"with":[36,65,226],"teacher":[37,90,126],"model":[38,91,98,114,127],"nodes.":[39],"However,":[40],"these":[41],"methods":[42],"do":[43],"not":[44],"consider":[45],"the":[46,58,83,89,96,103,110,113,116,125,141,148,161,176,200,205,227,233],"ability":[47,235],"of":[48,60,112,195],"nodes":[49,212],"resist":[51,237],"disturbance":[52],"signals":[53],"and":[54,109,139,240,245],"malicious":[55],"injection,":[56],"limiting":[57],"application":[59],"To":[63],"deal":[64],"this,":[66],"this":[67,180],"paper":[68,181],"proposes":[69,182],"immune":[71],"sparse":[72],"therapy":[73],"for":[74,151,169],"learning":[76],"(ISTL)":[77],"inspired":[78],"Specific":[80],"Immunotherapy":[81],"biomedical":[84],"field.":[85],"The":[86],"ISTL":[87,123,203,231],"treats":[88],"as":[92,99,106,118,147],"a":[93],"paternal":[94],"gene,":[95],"allergy":[101],"patient,":[102],"adversarial":[104,155,238],"attack":[105,117],"allergen,":[108],"misclassification":[111],"after":[115],"allergic":[120],"reaction.":[121],"Firstly,":[122],"utilizes":[124],"(paternal":[128],"gene)":[129],"construct":[131],"Immune":[133],"Search":[134],"Space":[135],"(treatment":[136],"options":[137],"library)":[138],"take":[140],"fully":[142],"activated":[143],"state":[144],"(Immune":[145],"Overreaction)":[146],"starting":[149],"point":[150],"training":[152,171],"(treatment).":[153,172],"Meanwhile,":[154],"perturbations":[156],"(antigens)":[157],"added":[159],"samples":[163],"(non-allergens)":[164],"generate":[166],"specialized":[167],"vaccines":[168],"subsequent":[170],"Secondly,":[173],"evaluate":[175],"model's":[177,234],"treatment":[178,201,206],"effect,":[179,202],"Integrated":[183],"Multi-Criteria":[184],"Loss":[185],"(IMCL),":[186],"which":[187],"fuses":[188],"each":[189,193],"parameter":[190],"index":[191],"round":[194],"processing.":[196],"Finally,":[197],"according":[198],"adjusts":[204],"plan":[207],"activating":[209],"or":[210],"deactivating":[211],"achieve":[214],"better":[215],"safety":[216],"performance":[217],"while":[218,250],"maintaining":[219,251],"similar":[220],"accuracy.":[221,252],"Experiments":[222],"show":[223],"that,":[224],"compared":[225],"8":[228,248],"latest":[229],"models,":[230],"improves":[232],"attacks":[239,242],"backdoor":[241],"75.72%":[244],"63.4%":[246],"on":[247],"datasets":[249]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
