{"id":"https://openalex.org/W3084424094","doi":"https://doi.org/10.1109/icme46284.2020.9102886","title":"Universal Adversarial Perturbations Generative Network For Speaker Recognition","display_name":"Universal Adversarial Perturbations Generative Network For Speaker Recognition","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3084424094","doi":"https://doi.org/10.1109/icme46284.2020.9102886","mag":"3084424094"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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/A5103173334","display_name":"Jiguo Li","orcid":"https://orcid.org/0000-0002-1447-4798"},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jiguo Li","raw_affiliation_strings":["Chinese Academic of Sciences, Institute of Computer Technology"],"affiliations":[{"raw_affiliation_string":"Chinese Academic of Sciences, Institute of Computer Technology","institution_ids":["https://openalex.org/I4210155092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["University of Chinese Academic of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academic of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292663","display_name":"Chuanmin Jia","orcid":"https://orcid.org/0000-0002-7418-6245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmin Jia","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727196","display_name":"Jizheng Xu","orcid":"https://orcid.org/0009-0005-4563-6787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jizheng Xu","raw_affiliation_strings":["Bytedance.Inc"],"affiliations":[{"raw_affiliation_string":"Bytedance.Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425399","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-5077-9962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Bytedance.Inc"],"affiliations":[{"raw_affiliation_string":"Bytedance.Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372111","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0003-2100-2067"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Bytedance.Inc"],"affiliations":[{"raw_affiliation_string":"Bytedance.Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103173334"],"corresponding_institution_ids":["https://openalex.org/I4210155092"],"apc_list":null,"apc_paid":null,"fwci":4.6396,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.95673961,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9861000180244446,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9804999828338623,"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/timit","display_name":"TIMIT","score":0.7950471043586731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7459879517555237},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6581456661224365},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6375759243965149},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5533308982849121},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.552747905254364},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5236749053001404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5153784155845642},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.49931955337524414},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4656795859336853},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4416120946407318},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.43802398443222046},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43784791231155396},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4187760651111603},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.41008061170578003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39464741945266724},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3230363130569458}],"concepts":[{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7950471043586731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459879517555237},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6581456661224365},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6375759243965149},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5533308982849121},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.552747905254364},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5236749053001404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5153784155845642},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.49931955337524414},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4656795859336853},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4416120946407318},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.43802398443222046},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43784791231155396},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4187760651111603},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.41008061170578003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39464741945266724},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3230363130569458},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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":32,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1552314771","https://openalex.org/W1635512741","https://openalex.org/W1665214252","https://openalex.org/W1673923490","https://openalex.org/W1836465849","https://openalex.org/W1945616565","https://openalex.org/W2114992418","https://openalex.org/W2117539524","https://openalex.org/W2146320039","https://openalex.org/W2163605009","https://openalex.org/W2543927648","https://openalex.org/W2565961899","https://openalex.org/W2765424254","https://openalex.org/W2767951891","https://openalex.org/W2962747881","https://openalex.org/W2963165363","https://openalex.org/W2963207607","https://openalex.org/W2963857521","https://openalex.org/W2964052309","https://openalex.org/W2964153729","https://openalex.org/W2972706975","https://openalex.org/W2989923428","https://openalex.org/W3103557498","https://openalex.org/W6629717138","https://openalex.org/W6637162671","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6640425456","https://openalex.org/W6684191040","https://openalex.org/W6745795967","https://openalex.org/W6770476476"],"related_works":["https://openalex.org/W80423236","https://openalex.org/W3164669818","https://openalex.org/W1573546415","https://openalex.org/W1694601526","https://openalex.org/W2262333520","https://openalex.org/W3188427489","https://openalex.org/W128188896","https://openalex.org/W2108636611","https://openalex.org/W2591460962","https://openalex.org/W2189295099"],"abstract_inverted_index":{"Attacking":[0],"deep":[1],"learning":[2],"based":[3],"biometric":[4],"systems":[5],"has":[6],"drawn":[7],"more":[8,10],"and":[9,103],"attention":[11],"with":[12,96],"the":[13,21,24,30,49,52,58,69,72,77,82,91,107],"wide":[14],"deployment":[15],"of":[16,51,109],"fingerprint/face/speaker":[17],"recognition":[18,60,94],"systems,":[19],"given":[20],"fact":[22],"that":[23],"neural":[25],"networks":[26],"are":[27],"vulnerable":[28],"to":[29,38,67,76,84,89],"adversarial":[31,54],"examples,":[32],"which":[33],"have":[34],"been":[35],"intentionally":[36],"perturbed":[37],"remain":[39],"almost":[40],"imperceptible":[41],"for":[42,57],"human.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"demonstrated":[48],"existence":[50],"universal":[53],"perturbations":[55],"(UAPs)":[56],"speaker":[59,93],"systems.":[61],"We":[62],"proposed":[63],"a":[64],"generative":[65],"network":[66],"learn":[68],"mapping":[70],"from":[71],"low-dimensional":[73],"normal":[74],"distribution":[75],"UAPs":[78,83],"subspace,":[79],"then":[80],"synthesize":[81],"perturbe":[85],"any":[86],"input":[87],"signals":[88],"spoof":[90],"well-trained":[92],"model":[95],"high":[97],"probability.":[98],"Experimental":[99],"results":[100],"on":[101],"TIMIT":[102],"LibriSpeech":[104],"datasets":[105],"demonstrate":[106],"effectiveness":[108],"our":[110],"model.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}