{"id":"https://openalex.org/W3200281087","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534294","title":"Adaptive Retraining for Neural Network Robustness in Classification","display_name":"Adaptive Retraining for Neural Network Robustness in Classification","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200281087","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534294","mag":"3200281087"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5010932014","display_name":"Ruozhu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ruozhu Yao","raw_affiliation_strings":["Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","RAMS Reliability Technology Lab, Huawei Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","institution_ids":["https://openalex.org/I4210129353"]},{"raw_affiliation_string":"RAMS Reliability Technology Lab, Huawei Technology Co., Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057248193","display_name":"Chengqiang Huang","orcid":"https://orcid.org/0000-0002-7555-5639"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chengqiang Huang","raw_affiliation_strings":["Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","RAMS Reliability Technology Lab, Huawei Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","institution_ids":["https://openalex.org/I4210129353"]},{"raw_affiliation_string":"RAMS Reliability Technology Lab, Huawei Technology Co., Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075198788","display_name":"Zheng Hu","orcid":"https://orcid.org/0000-0002-8874-5466"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zheng Hu","raw_affiliation_strings":["Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","RAMS Reliability Technology Lab, Huawei Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,RAMS Reliability Technology Lab","institution_ids":["https://openalex.org/I4210129353"]},{"raw_affiliation_string":"RAMS Reliability Technology Lab, Huawei Technology Co., Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091491018","display_name":"Pei Ke","orcid":"https://orcid.org/0000-0001-7554-5636"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Pei","raw_affiliation_strings":["Huawei Technology Co., Ltd.,TTE-DE RAMS Lab","TTE-DE RAMS Lab, Huawei Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technology Co., Ltd.,TTE-DE RAMS Lab","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"TTE-DE RAMS Lab, Huawei Technology Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010932014"],"corresponding_institution_ids":["https://openalex.org/I4210129353"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55130544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"97","issue":null,"first_page":"1","last_page":"8"},"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":0.9941999912261963,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8033260107040405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7298316955566406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125750780105591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6670821905136108},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6048332452774048},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.534596860408783},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5169957876205444},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4399738609790802}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8033260107040405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7298316955566406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125750780105591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6670821905136108},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6048332452774048},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.534596860408783},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5169957876205444},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4399738609790802},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1710476689","https://openalex.org/W1945616565","https://openalex.org/W1959608418","https://openalex.org/W2112796928","https://openalex.org/W2119821739","https://openalex.org/W2147800946","https://openalex.org/W2187089797","https://openalex.org/W2243397390","https://openalex.org/W2735607295","https://openalex.org/W2767075075","https://openalex.org/W2768346313","https://openalex.org/W2768718880","https://openalex.org/W2807040120","https://openalex.org/W2900153411","https://openalex.org/W2945793108","https://openalex.org/W2961301154","https://openalex.org/W2962872506","https://openalex.org/W2963060032","https://openalex.org/W2963207607","https://openalex.org/W2963249138","https://openalex.org/W2963857521","https://openalex.org/W2963998105","https://openalex.org/W2964253222","https://openalex.org/W2970456043","https://openalex.org/W2985282977","https://openalex.org/W2996564870","https://openalex.org/W2998835636","https://openalex.org/W3034196143","https://openalex.org/W3036438747","https://openalex.org/W3093419064","https://openalex.org/W3128637142","https://openalex.org/W4239510810","https://openalex.org/W4288404646","https://openalex.org/W4293846201","https://openalex.org/W4298289240","https://openalex.org/W4299356147","https://openalex.org/W4300996741","https://openalex.org/W4301187031","https://openalex.org/W4394663350","https://openalex.org/W6637568146","https://openalex.org/W6640425456","https://openalex.org/W6640963894","https://openalex.org/W6730161283","https://openalex.org/W6739868092","https://openalex.org/W6745454490","https://openalex.org/W6751834733","https://openalex.org/W6757555829","https://openalex.org/W6762624066","https://openalex.org/W6765536919","https://openalex.org/W6766811836","https://openalex.org/W6771809012","https://openalex.org/W6779631978","https://openalex.org/W6864274290"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750","https://openalex.org/W4383221314","https://openalex.org/W2953536436"],"abstract_inverted_index":{"Neural":[0],"network":[1,57,88],"robustness":[2,35,58,123],"has":[3,39],"been":[4],"a":[5,86,94,130],"hot":[6],"research":[7,28],"topic":[8],"since":[9],"the":[10,16,27,34,64,73,76,99,109,115,122],"discovery":[11],"of":[12,30,36,68,75,105,124,148],"adversarial":[13,21,66],"examples.":[14],"With":[15],"increasing":[17,63],"threats":[18],"posed":[19],"by":[20,114],"examples":[22],"in":[23,44,97,120],"safety-critical":[24],"AI":[25],"applications,":[26],"problem":[29],"how":[31],"to":[32,108],"boost":[33],"neural":[37,56,87,126,149],"networks":[38,127],"drawn":[40],"even":[41],"more":[42],"attention":[43],"recent":[45],"years.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,84],"argue":[51],"that":[52],"existing":[53],"methods":[54],"for":[55,145],"optimization":[59,147],"primarily":[60],"focus":[61],"on":[62,139],"minimum":[65,100],"perturbation":[67],"individual":[69],"datum":[70],"while":[71,134],"neglecting":[72],"purpose":[74],"target":[77],"machine":[78],"learning":[79],"task,":[80],"i.e.,":[81],"classification.":[82],"Consequently,":[83],"propose":[85],"retraining":[89,132],"method":[90,118],"which":[91],"implicitly":[92],"enhances":[93],"model's":[95],"capability":[96],"maximizing":[98],"distance":[101],"from":[102],"data":[103],"instances":[104],"all":[106],"classes":[107],"decision":[110],"boundary.":[111],"As":[112],"demonstrated":[113],"experiments,":[116],"our":[117],"succeeds":[119],"improving":[121],"pre-trained":[125],"within":[128],"only":[129],"few":[131],"epochs":[133],"imposing":[135],"little":[136],"negative":[137],"effect":[138],"classification":[140],"accuracy,":[141],"thus":[142],"being":[143],"applicable":[144],"online":[146],"networks.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}