{"id":"https://openalex.org/W4229367784","doi":"https://doi.org/10.1145/3522783.3529523","title":"Can You Hear It?","display_name":"Can You Hear It?","publication_year":2022,"publication_date":"2022-05-09","ids":{"openalex":"https://openalex.org/W4229367784","doi":"https://doi.org/10.1145/3522783.3529523"},"language":"en","primary_location":{"id":"doi:10.1145/3522783.3529523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522783.3529523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522783.3529523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3522783.3529523","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101725689","display_name":"Stefanos Koffas","orcid":"https://orcid.org/0000-0001-6543-4801"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stefanos Koffas","raw_affiliation_strings":["Technical University of Delft, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041333761","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0002-9900-4081"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["Technical University of Delft, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063847107","display_name":"Mauro Conti","orcid":"https://orcid.org/0000-0002-3612-1934"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Conti","raw_affiliation_strings":["University of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024072796","display_name":"Stjepan Picek","orcid":"https://orcid.org/0000-0001-7509-4337"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stjepan Picek","raw_affiliation_strings":["Radboud University, Nijmegen, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9943,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95751589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9969000220298767,"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":0.9919000267982483,"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/backdoor","display_name":"Backdoor","score":0.9906968474388123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412503957748413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.512689471244812},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5062417387962341},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4999425411224365},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47940608859062195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4510003924369812},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.4190611243247986}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9906968474388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412503957748413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.512689471244812},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5062417387962341},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4999425411224365},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47940608859062195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4510003924369812},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.4190611243247986},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3522783.3529523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522783.3529523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522783.3529523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3522783.3529523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522783.3529523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522783.3529523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229367784.pdf","grobid_xml":"https://content.openalex.org/works/W4229367784.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W612402774","https://openalex.org/W2296079419","https://openalex.org/W2624801495","https://openalex.org/W2942091739","https://openalex.org/W2953343412","https://openalex.org/W2962788625","https://openalex.org/W2990270730","https://openalex.org/W3015241525","https://openalex.org/W3039098095","https://openalex.org/W3152758407","https://openalex.org/W3163083600","https://openalex.org/W4300824008"],"related_works":["https://openalex.org/W4320031223","https://openalex.org/W3015678314","https://openalex.org/W4281902577","https://openalex.org/W4200629851","https://openalex.org/W3009072493","https://openalex.org/W4386185023","https://openalex.org/W4317672133","https://openalex.org/W3140988292","https://openalex.org/W4386080799","https://openalex.org/W4382469137"],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"backdoor":[3,21],"attacks":[4],"for":[5,26],"automatic":[6],"speech":[7,42],"recognition":[8],"systems":[9],"where":[10],"we":[11,18],"inject":[12],"inaudible":[13],"triggers.":[14],"By":[15],"doing":[16],"so,":[17],"make":[19],"the":[20,50,56,62],"attack":[22,54],"challenging":[23],"to":[24],"detect":[25],"legitimate":[27],"users":[28],"and,":[29],"consequently,":[30],"potentially":[31],"more":[32],"dangerous.":[33],"We":[34],"conduct":[35],"experiments":[36],"on":[37],"two":[38],"versions":[39],"of":[40,52,61],"a":[41],"dataset":[43],"and":[44,48,59],"three":[45],"neural":[46],"networks":[47],"explore":[49],"performance":[51],"our":[53],"concerning":[55],"duration,":[57],"position,":[58],"type":[60],"trigger.":[63]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-05-10T00:00:00"}
