{"id":"https://openalex.org/W3015957163","doi":"https://doi.org/10.1109/icassp40776.2020.9054475","title":"Self-Supervised Adversarial Training","display_name":"Self-Supervised Adversarial Training","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015957163","doi":"https://doi.org/10.1109/icassp40776.2020.9054475","mag":"3015957163"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5045121980","display_name":"Kejiang Chen","orcid":"https://orcid.org/0000-0002-9868-3414"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kejiang Chen","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102976060","display_name":"Yuefeng Chen","orcid":"https://orcid.org/0000-0003-0378-3103"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuefeng Chen","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025286392","display_name":"Hang Zhou","orcid":"https://orcid.org/0000-0001-7860-8452"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhou","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051298007","display_name":"Xiaofeng Mao","orcid":"https://orcid.org/0000-0003-4486-556X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Mao","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341177","display_name":"Yuhong Li","orcid":"https://orcid.org/0009-0009-9185-7133"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Li","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802340","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6885-1341"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337747","display_name":"Hui Xue","orcid":"https://orcid.org/0000-0002-2093-2839"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xue","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067689180","display_name":"Weiming Zhang","orcid":"https://orcid.org/0000-0001-5576-6108"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Zhang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5045121980"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.3861,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90749305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2218","last_page":"2222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9340999722480774,"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/adversarial-system","display_name":"Adversarial system","score":0.9050419330596924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7288973927497864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136675119400024},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6452312469482422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6410254836082458},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5948753356933594},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5403180122375488},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.525528609752655},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4892244338989258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3539372384548187}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9050419330596924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288973927497864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136675119400024},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6452312469482422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6410254836082458},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5948753356933594},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5403180122375488},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.525528609752655},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4892244338989258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3539372384548187},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W66427752","https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2119112357","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2593864460","https://openalex.org/W2607219512","https://openalex.org/W2765233338","https://openalex.org/W2774644650","https://openalex.org/W2786118190","https://openalex.org/W2791953061","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W2887997457","https://openalex.org/W2948012107","https://openalex.org/W2951292523","https://openalex.org/W2951873722","https://openalex.org/W2952876202","https://openalex.org/W2954540134","https://openalex.org/W2962747881","https://openalex.org/W2962759300","https://openalex.org/W2962872506","https://openalex.org/W2963100962","https://openalex.org/W2963207607","https://openalex.org/W2963496101","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2964335429","https://openalex.org/W2964420626","https://openalex.org/W2970115835","https://openalex.org/W2971155163","https://openalex.org/W2989929945","https://openalex.org/W4288359148","https://openalex.org/W4293846201","https://openalex.org/W4297808394","https://openalex.org/W4299585995","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6678097026","https://openalex.org/W6734897383","https://openalex.org/W6736207377","https://openalex.org/W6739868092","https://openalex.org/W6744679260","https://openalex.org/W6748965907","https://openalex.org/W6754278344","https://openalex.org/W6761839128","https://openalex.org/W6763416564","https://openalex.org/W6764266060","https://openalex.org/W6764635684","https://openalex.org/W6765694979","https://openalex.org/W6765696844","https://openalex.org/W6766489549"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W3134175397","https://openalex.org/W2515319207"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"demonstrated":[3],"that":[4,116],"neural":[5],"networks":[6],"are":[7],"vulnerable":[8],"to":[9,20,42,51,67],"adversarial":[10,29,44,69,93,111,130],"examples.":[11,112],"To":[12,86],"escape":[13],"from":[14,57],"the":[15,22,47,75,89,99,103,109,117,135],"predicament,":[16],"many":[17],"works":[18],"try":[19],"harden":[21],"model":[23],"in":[24,27,71,124],"various":[25],"ways,":[26],"which":[28,35,97],"training":[30,94,131],"is":[31,82,95],"an":[32],"effective":[33],"way":[34],"learns":[36],"robust":[37,53],"feature":[38],"representation":[39,77,119],"so":[40],"as":[41],"resist":[43],"attacks.":[45],"Meanwhile,":[46],"self-supervised":[48,65,76,92,118,129],"learning":[49,66],"aims":[50],"learn":[52],"and":[54,108,128],"semantic":[55],"embedding":[56],"data":[58],"itself.":[59],"With":[60],"these":[61],"views,":[62],"we":[63],"introduce":[64],"against":[68],"examples":[70,107],"this":[72],"paper.":[73],"Specifically,":[74],"coupled":[78],"with":[79],"k-Nearest":[80],"Neighbour":[81],"proposed":[83],"for":[84],"classification.":[85],"further":[87,133],"strengthen":[88],"defense":[90,136],"ability,":[91],"proposed,":[96],"maximizes":[98],"mutual":[100],"information":[101],"between":[102],"representations":[104],"of":[105,126],"original":[106],"corresponding":[110],"Experimental":[113],"results":[114],"show":[115],"outperforms":[120],"its":[121],"supervised":[122],"version":[123],"respect":[125],"robustness":[127],"can":[132],"improve":[134],"ability":[137],"efficiently.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
