{"id":"https://openalex.org/W4390976576","doi":"https://doi.org/10.1007/s40747-023-01311-0","title":"Boosting adversarial robustness via feature refinement, suppression, and alignment","display_name":"Boosting adversarial robustness via feature refinement, suppression, and alignment","publication_year":2024,"publication_date":"2024-01-18","ids":{"openalex":"https://openalex.org/W4390976576","doi":"https://doi.org/10.1007/s40747-023-01311-0"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01311-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01311-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01311-0.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & 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/s40747-023-01311-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101456859","display_name":"Yulun Wu","orcid":"https://orcid.org/0000-0002-3629-0172"},"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":true,"raw_author_name":"Yulun Wu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079425523","display_name":"Yanming Guo","orcid":"https://orcid.org/0000-0001-9184-5313"},"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":"Yanming Guo","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","Hunan Institute of Advanced Technology, Changsha, 410072, China","RoadMaint Co., Ltd., Beijing, 100095, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Hunan Institute of Advanced Technology, Changsha, 410072, China","institution_ids":[]},{"raw_affiliation_string":"RoadMaint Co., Ltd., Beijing, 100095, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677493","display_name":"Dongmei Chen","orcid":"https://orcid.org/0000-0001-5419-8735"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Chen","raw_affiliation_strings":["International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, 519087, China","School of Systems Science, Beijing Normal University, Beijing, 100875, China"],"affiliations":[{"raw_affiliation_string":"International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, 519087, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Systems Science, Beijing Normal University, Beijing, 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107943977","display_name":"Tianyuan Yu","orcid":null},"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":"Tianyuan Yu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001902162","display_name":"Huaxin Xiao","orcid":"https://orcid.org/0000-0003-4524-2698"},"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":"Huaxin Xiao","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011096681","display_name":"Yuanhao Guo","orcid":"https://orcid.org/0000-0003-4797-1616"},"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":"Yuanhao Guo","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","Hunan Institute of Advanced Technology, Changsha, 410072, China","RoadMaint Co., Ltd., Beijing, 100095, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Hunan Institute of Advanced Technology, Changsha, 410072, China","institution_ids":[]},{"raw_affiliation_string":"RoadMaint Co., Ltd., Beijing, 100095, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046818326","display_name":"Liang Bai","orcid":"https://orcid.org/0000-0002-0380-2995"},"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":"Liang Bai","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","Hunan Institute of Advanced Technology, Changsha, 410072, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, 410072, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Hunan Institute of Advanced Technology, Changsha, 410072, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101456859"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7144,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72601656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"10","issue":"3","first_page":"3213","last_page":"3233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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":0.9605000019073486,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9086999893188477,"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/adversarial-system","display_name":"Adversarial system","score":0.8967354893684387},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7403721809387207},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6759856343269348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695747971534729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5819273591041565},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5411784648895264},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4660787284374237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.464150071144104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43247273564338684},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4308939278125763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4200807213783264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41159605979919434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35360345244407654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.345600962638855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1614185869693756}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8967354893684387},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7403721809387207},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6759856343269348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695747971534729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5819273591041565},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5411784648895264},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4660787284374237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.464150071144104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43247273564338684},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4308939278125763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4200807213783264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41159605979919434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35360345244407654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.345600962638855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1614185869693756},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01311-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01311-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01311-0.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b872562bf584fb18c3dfc524f595a35","is_oa":true,"landing_page_url":"https://doaj.org/article/5b872562bf584fb18c3dfc524f595a35","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 10, Iss 3, Pp 3213-3233 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01311-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01311-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01311-0.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4671987492","display_name":null,"funder_award_id":"2023JJ30082","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390976576.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2520774990","https://openalex.org/W2572649260","https://openalex.org/W2618492571","https://openalex.org/W2774018344","https://openalex.org/W2798302089","https://openalex.org/W2802922942","https://openalex.org/W2884585870","https://openalex.org/W2919115771","https://openalex.org/W2953355478","https://openalex.org/W2954978443","https://openalex.org/W2955058313","https://openalex.org/W2962872506","https://openalex.org/W2962972208","https://openalex.org/W2963037989","https://openalex.org/W2963384482","https://openalex.org/W2963446712","https://openalex.org/W2963485691","https://openalex.org/W2963706010","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2964137095","https://openalex.org/W2972986629","https://openalex.org/W2983219069","https://openalex.org/W2997150500","https://openalex.org/W2997560666","https://openalex.org/W3004923651","https://openalex.org/W3006436762","https://openalex.org/W3009460750","https://openalex.org/W3009751875","https://openalex.org/W3015646845","https://openalex.org/W3033511014","https://openalex.org/W3035467354","https://openalex.org/W3035524670","https://openalex.org/W3035548987","https://openalex.org/W3048636285","https://openalex.org/W3098350627","https://openalex.org/W3099502074","https://openalex.org/W3105009650","https://openalex.org/W3106758205","https://openalex.org/W3110144845","https://openalex.org/W3135970545","https://openalex.org/W3204279503","https://openalex.org/W3210283826","https://openalex.org/W4214585697","https://openalex.org/W4214638350","https://openalex.org/W4214666412","https://openalex.org/W4285729166","https://openalex.org/W4288056659","https://openalex.org/W4308889875","https://openalex.org/W4311212916","https://openalex.org/W4312229863","https://openalex.org/W4312594701","https://openalex.org/W4312641744","https://openalex.org/W4312720137","https://openalex.org/W4313055133","https://openalex.org/W4313537271","https://openalex.org/W4323979480","https://openalex.org/W4386065434","https://openalex.org/W4386083049","https://openalex.org/W6601867051","https://openalex.org/W6746203390"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"neural":[2,32],"networks":[3,158],"are":[4,40],"vulnerable":[5],"to":[6,12,27,71,127],"adversarial":[7,17,24,73,118,170],"attacks,":[8],"bringing":[9],"high":[10],"risk":[11],"numerous":[13],"security-critical":[14],"applications.":[15],"Existing":[16],"defense":[18],"algorithms":[19],"primarily":[20],"concentrate":[21],"on":[22,133,151],"optimizing":[23],"training":[25],"strategies":[26,50],"improve":[28],"the":[29,37,44,62,94,103,107,176],"robustness":[30,171],"of":[31],"networks,":[33],"but":[34],"ignore":[35],"that":[36,160],"misguided":[38],"decisions":[39],"essentially":[41],"made":[42],"by":[43,117],"activation":[45,87,100,109,114],"values.":[46],"Besides,":[47],"such":[48],"conventional":[49],"normally":[51],"result":[52],"in":[53,57,102,168],"a":[54,67,138,142],"great":[55],"decline":[56],"clean":[58,77,134,173],"accuracy.":[59,78],"To":[60],"address":[61],"above":[63],"issues,":[64],"we":[65],"propose":[66],"novel":[68],"RSA":[69,80,136],"algorithm":[70,163],"counteract":[72],"perturbations":[74,119],"while":[75],"maintaining":[76],"Specifically,":[79],"comprises":[81],"three":[82,156],"distinct":[83],"modules:":[84],"feature":[85,95,104,108,147],"refinement,":[86],"s":[88],"uppression,":[89],"and":[90,123,141,155,172],"alignment":[91],"modules.":[92],"First,":[93],"refinement":[96],"module":[97,111],"refines":[98],"malicious":[99],"values":[101,115],"space.":[105],"Subsequently,":[106],"suppression":[110],"mitigates":[112],"redundant":[113],"induced":[116],"across":[120],"both":[121,169],"channel":[122],"spatial":[124],"dimensions.":[125],"Finally,":[126],"avoid":[128],"an":[129],"excessive":[130],"performance":[131,167],"drop":[132],"samples,":[135],"incorporates":[137],"consistency":[139],"constraint":[140,145],"knowledge":[143],"distillation":[144],"for":[146],"alignment.":[148],"Extensive":[149],"experiments":[150],"five":[152],"public":[153],"datasets":[154],"backbone":[157],"demonstrate":[159],"our":[161],"proposed":[162],"achieves":[164],"consistently":[165],"superior":[166],"accuracy":[174],"over":[175],"state-of-the-art.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}