{"id":"https://openalex.org/W4393241289","doi":"https://doi.org/10.1109/tnnls.2024.3379172","title":"Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning","display_name":"Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393241289","doi":"https://doi.org/10.1109/tnnls.2024.3379172","pmid":"https://pubmed.ncbi.nlm.nih.gov/38536695"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3379172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3379172","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5045529705","display_name":"Junhao Dong","orcid":"https://orcid.org/0000-0002-6232-9157"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Dong","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6232-9157","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008829329","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-1007-8843"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1007-8843","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018298892","display_name":"Xiaohua Xie","orcid":"https://orcid.org/0000-0002-0310-4679"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-4679","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuang Lai","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China,","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068243197","display_name":"Yew-Soon Ong","orcid":"https://orcid.org/0000-0002-4480-169X"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yew-Soon Ong","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","Center for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4480-169X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Center for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore","institution_ids":["https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3941,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89448387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"5480","last_page":"5493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9990000128746033,"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":0.9990000128746033,"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":0.973800003528595,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9161040782928467},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8304206132888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333340048789978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7013857960700989},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6274733543395996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6235049366950989},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5486102104187012},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46983832120895386},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4451848864555359},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42875024676322937},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4206456243991852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3286592662334442}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9161040782928467},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8304206132888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333340048789978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013857960700989},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6274733543395996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6235049366950989},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5486102104187012},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46983832120895386},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4451848864555359},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42875024676322937},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4206456243991852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3286592662334442},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2024.3379172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3379172","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38536695","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38536695","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:dr.ntu.edu.sg:10356/218113","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/218113","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3598252596","display_name":null,"funder_award_id":"62072482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G679885416","display_name":null,"funder_award_id":"U22-A2095","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":80,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2806143712","https://openalex.org/W2892090366","https://openalex.org/W2953350408","https://openalex.org/W2963070905","https://openalex.org/W2963178695","https://openalex.org/W2963384482","https://openalex.org/W2963389226","https://openalex.org/W2963857521","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964206659","https://openalex.org/W2972743300","https://openalex.org/W2979747407","https://openalex.org/W2998457557","https://openalex.org/W3035524453","https://openalex.org/W3036411233","https://openalex.org/W3047669212","https://openalex.org/W3080996465","https://openalex.org/W3108975329","https://openalex.org/W3118608800","https://openalex.org/W3124515882","https://openalex.org/W3143373604","https://openalex.org/W3164012963","https://openalex.org/W3171521713","https://openalex.org/W3171632293","https://openalex.org/W3173080248","https://openalex.org/W3173686010","https://openalex.org/W3175281366","https://openalex.org/W3176219570","https://openalex.org/W3181932393","https://openalex.org/W4214689175","https://openalex.org/W4214818157","https://openalex.org/W4223638185","https://openalex.org/W4293584584","https://openalex.org/W4293846201","https://openalex.org/W4304479547","https://openalex.org/W4308243025","https://openalex.org/W4312830051","https://openalex.org/W4321487910","https://openalex.org/W4365420523","https://openalex.org/W4383751383","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6684191040","https://openalex.org/W6717697761","https://openalex.org/W6729756640","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6739868092","https://openalex.org/W6746402973","https://openalex.org/W6750227808","https://openalex.org/W6751281049","https://openalex.org/W6751776053","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6754673040","https://openalex.org/W6755310938","https://openalex.org/W6758126075","https://openalex.org/W6759129252","https://openalex.org/W6761839128","https://openalex.org/W6770761700","https://openalex.org/W6771356089","https://openalex.org/W6774469542","https://openalex.org/W6779693928","https://openalex.org/W6780154528","https://openalex.org/W6784347383","https://openalex.org/W6784493056","https://openalex.org/W6788135285","https://openalex.org/W6788789465","https://openalex.org/W6788808470","https://openalex.org/W6789128979","https://openalex.org/W6797873826","https://openalex.org/W6802545238","https://openalex.org/W6810034877","https://openalex.org/W6846184628","https://openalex.org/W6846505821"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W4403006689"],"abstract_inverted_index":{"Few-shot":[0],"image":[1],"classification":[2],"(FSIC)":[3],"is":[4],"beneficial":[5],"for":[6],"a":[7,15,88,138,225],"variety":[8],"of":[9,60,176],"real-world":[10],"scenarios,":[11],"aiming":[12],"to":[13,51,108,131,144],"construct":[14],"recognition":[16],"system":[17],"with":[18,57],"limited":[19],"training":[20,82,142],"data.":[21,61],"In":[22,84],"this":[23,65],"article,":[24],"we":[25,86,114,136,161],"extend":[26],"the":[27,71,81,125,128,146,154,163,168,174],"original":[28],"FSIC":[29,111,218],"task":[30],"by":[31,224],"incorporating":[32],"defense":[33],"against":[34],"malicious":[35],"adversarial":[36,52,110,129,140,149,155,178,196],"examples.":[37,150,179,197],"This":[38],"can":[39,104,172,183],"be":[40,106],"an":[41,116],"arduous":[42],"challenge":[43],"because":[44],"numerous":[45,77],"deep":[46],"learning-based":[47],"approaches":[48],"remain":[49],"susceptible":[50],"examples,":[53],"even":[54,192],"when":[55,193],"trained":[56],"ample":[58],"amounts":[59],"Previous":[62],"studies":[63],"on":[64,70,220],"problem":[66],"have":[67],"predominantly":[68],"concentrated":[69],"meta-learning":[72],"framework,":[73],"which":[74,103,171],"involves":[75],"sampling":[76],"few-shot":[78],"tasks":[79],"during":[80,167],"stage.":[83],"contrast,":[85],"propose":[87,162],"straightforward":[89],"but":[90],"effective":[91],"baseline":[92],"via":[93],"learning":[94],"robust":[95,185,217],"and":[96,127,200],"discriminative":[97,159],"representations":[98],"without":[99,157],"tedious":[100],"meta-task":[101],"sampling,":[102],"further":[105,152],"generalized":[107],"unforeseen":[109,177],"tasks.":[112],"Specifically,":[113],"introduce":[115],"adversarial-aware":[117],"(AA)":[118],"mechanism":[119],"that":[120,188,204],"exploits":[121],"feature-level":[122],"distinctions":[123],"between":[124],"legitimate":[126],"domains":[130],"provide":[132],"supplementary":[133],"supervision.":[134],"Moreover,":[135],"design":[137],"novel":[139],"reweighting":[141],"strategy":[143],"ameliorate":[145],"imbalance":[147],"among":[148,215],"To":[151],"enhance":[153],"robustness":[156,209],"compromising":[158],"features,":[160],"cyclic":[164],"feature":[165,186],"purifier":[166],"postprocessing":[169],"projection,":[170],"reduce":[173],"interference":[175],"Furthermore,":[180],"our":[181,205],"method":[182,206],"obtain":[184],"embeddings":[187],"maintain":[189],"superior":[190],"transferability,":[191],"facing":[194],"cross-domain":[195],"Extensive":[198],"experiments":[199],"systematic":[201],"analyses":[202],"demonstrate":[203],"achieves":[207],"state-of-the-art":[208],"as":[210,212],"well":[211],"natural":[213],"performance":[214],"adversarially":[216],"algorithms":[219],"three":[221],"standard":[222],"benchmarks":[223],"substantial":[226],"margin.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
