{"id":"https://openalex.org/W7105650580","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228304","title":"Audio Adversarial Example Generation via Information Reduction","display_name":"Audio Adversarial Example Generation via Information Reduction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W7105650580","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228304"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Kai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["Guangxi University,School of Computer,Electronics and Information,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University,School of Computer,Electronics and Information,Nanning,China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianbin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Huang","raw_affiliation_strings":["Guangxi University,School of Computer,Electronics and Information,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University,School of Computer,Electronics and Information,Nanning,China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ying Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["Guangxi University,School of Computer,Electronics and Information,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University,School of Computer,Electronics and Information,Nanning,China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.904699981212616,"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":0.904699981212616,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.022299999371170998,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.009999999776482582,"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":0.9549000263214111},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4449999928474426},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4223000109195709},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3950999975204468},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3158000111579895}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9549000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598000168800354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5608999729156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393000245094299},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.28790000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.45478636026382446,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2096330373","https://openalex.org/W2155954808","https://openalex.org/W2603766943","https://openalex.org/W2604505099","https://openalex.org/W2898435086","https://openalex.org/W2963161670","https://openalex.org/W2964137095","https://openalex.org/W2964301649","https://openalex.org/W2972986629","https://openalex.org/W3004061291","https://openalex.org/W3040148743","https://openalex.org/W3091896612","https://openalex.org/W3202281277","https://openalex.org/W3215615641","https://openalex.org/W4293846201","https://openalex.org/W4386066653","https://openalex.org/W4386076525","https://openalex.org/W4389619460"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"network-based":[1],"speech":[2,81],"recognition":[3,82],"models":[4,83],"are":[5,19,40],"widely":[6],"used":[7],"in":[8,62],"various":[9],"acoustic":[10],"systems":[11],"and":[12,84],"have":[13],"achieved":[14],"significant":[15],"success.":[16],"However,":[17],"they":[18],"vulnerable":[20],"to":[21,35,44],"adversarial":[22,25,37,53,94],"attacks.":[23],"Current":[24],"attack":[26,88,106],"methods":[27],"typically":[28],"mislead":[29],"the":[30,36,63],"model":[31],"by":[32,57],"introducing":[33],"perturbations":[34],"example":[38,54,95],"that":[39,74],"inaudible":[41],"or":[42],"imperceptible":[43,60],"humans.":[45],"In":[46,98],"this":[47],"paper,":[48],"we":[49],"propose":[50],"a":[51,86,104],"novel":[52],"generation":[55,96],"method":[56,77],"discarding":[58],"minute,":[59],"details":[61],"audio,":[64],"instead":[65],"of":[66],"adding":[67],"carefully":[68],"designed":[69],"perturbations.":[70],"Experimental":[71],"results":[72],"show":[73],"our":[75],"proposed":[76],"can":[78],"successfully":[79],"deceive":[80],"achieves":[85,103],"95.51%":[87],"success":[89,107],"rate,":[90],"significantly":[91],"outperforming":[92],"other":[93],"methods.":[97],"addition,":[99],"it":[100],"not":[101],"only":[102],"high":[105,112],"rate":[108],"but":[109],"also":[110],"maintains":[111],"perceptual":[113],"quality.":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}