{"id":"https://openalex.org/W4312835411","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892351","title":"Reverse Adversarial Attack To Enhance Environmental Sound Classification","display_name":"Reverse Adversarial Attack To Enhance Environmental Sound Classification","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312835411","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892351"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892351","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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":"https://openalex.org/A5005713107","display_name":"Achyut Mani Tripathi","orcid":"https://orcid.org/0000-0003-0548-9688"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Achyut Mani Tripathi","raw_affiliation_strings":["Indian Institute of Technology Guwahati,Department of Computer Science &#x0026; Engineering,Guwahati,Assam,India,781039"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati,Department of Computer Science &#x0026; Engineering,Guwahati,Assam,India,781039","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014658425","display_name":"Swarup Ranjan Behera","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swarup Ranjan Behera","raw_affiliation_strings":["Indian Institute of Technology Guwahati,Department of Computer Science &#x0026; Engineering,Guwahati,Assam,India,781039"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati,Department of Computer Science &#x0026; Engineering,Guwahati,Assam,India,781039","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086500792","display_name":"Konark Paul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konark Paul","raw_affiliation_strings":["Independent Researcher,Banguluru,Karnataka,India","Independent Researcher, Banguluru, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,Banguluru,Karnataka,India","institution_ids":[]},{"raw_affiliation_string":"Independent Researcher, Banguluru, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"10","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9803000092506409,"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/T13996","display_name":"Diverse Musicological Studies","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9325624704360962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522454261779785},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7126014232635498},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6476604342460632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6459759473800659},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5609578490257263},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.550732433795929},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.4856530427932739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4715839922428131},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4598463773727417}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9325624704360962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522454261779785},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7126014232635498},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6476604342460632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6459759473800659},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5609578490257263},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.550732433795929},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.4856530427932739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4715839922428131},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4598463773727417},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/ijcnn55064.2022.9892351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892351","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6100000143051147,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1501987291","https://openalex.org/W1945616565","https://openalex.org/W1972567154","https://openalex.org/W2052666245","https://openalex.org/W2509065397","https://openalex.org/W2560473673","https://openalex.org/W2619623002","https://openalex.org/W2620038827","https://openalex.org/W2696967604","https://openalex.org/W2751841560","https://openalex.org/W2765407302","https://openalex.org/W2768188490","https://openalex.org/W2820243394","https://openalex.org/W2913318911","https://openalex.org/W2936774411","https://openalex.org/W2963232038","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964236337","https://openalex.org/W3012504141","https://openalex.org/W3025016330","https://openalex.org/W3083566224","https://openalex.org/W3094550259","https://openalex.org/W3095753917","https://openalex.org/W3096976326","https://openalex.org/W3098357269","https://openalex.org/W3124191860","https://openalex.org/W3163423118","https://openalex.org/W3196782138","https://openalex.org/W3198860978","https://openalex.org/W4293665662","https://openalex.org/W4293846201","https://openalex.org/W4295723153","https://openalex.org/W4300511536","https://openalex.org/W4320013936","https://openalex.org/W6640425456","https://openalex.org/W6719080892","https://openalex.org/W6729831399","https://openalex.org/W6739868092","https://openalex.org/W6745136726","https://openalex.org/W6745930336","https://openalex.org/W6752516136","https://openalex.org/W6765253218"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W2950183588","https://openalex.org/W4293054861"],"abstract_inverted_index":{"Classification":[0],"of":[1,26,50,72,76,84,87,110,133],"environmental":[2,88],"sounds":[3],"becomes":[4],"an":[5],"essential":[6],"unit":[7],"for":[8,29,48],"several":[9],"applications":[10],"such":[11],"as":[12,102],"robot":[13],"audition,":[14],"audio-visual":[15],"and":[16,146,152,165],"ambient":[17],"intelligent":[18],"systems.":[19],"Recent":[20],"years":[21],"have":[22],"witnessed":[23],"remarkable":[24],"success":[25],"adversarial":[27,42,62,95,123,129],"attacks":[28],"misguiding":[30],"deep":[31,51,85,111,117,171],"models":[32,52],"with":[33,41,120,159],"a":[34],"high":[35,126],"fooling":[36],"rate.":[37],"Adversarial":[38],"examples":[39],"crafted":[40,64,122],"techniques":[43],"pose":[44],"serious":[45],"security":[46],"threats":[47],"deployment":[49],"to":[53,106,168],"practical":[54],"scenarios.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"show":[60,154],"that":[61,113,155],"signals":[63],"by":[65],"performing":[66],"search":[67,74],"in":[68],"the":[69,73,77,108,121,134,156,160],"opposite":[70],"direction":[71,75],"perturbations":[78],"could":[79],"be":[80,100],"utilized":[81],"while":[82],"training":[83],"classifiers":[86],"sound":[89],"classification":[90],"(ESC).":[91],"The":[92,116,131,150],"proposed":[93,135,161],"reverse":[94],"attack":[96],"(RAA)":[97],"technique":[98,162],"can":[99],"used":[101],"data":[103],"augmentation":[104],"tool":[105],"enhance":[107],"accuracy":[109],"model":[112,157],"performs":[114],"ESC.":[115],"network":[118],"trained":[119,158],"signal":[124],"shows":[125,163],"robustness":[127],"against":[128],"attacks.":[130],"efficacy":[132],"method":[136],"is":[137],"evaluated":[138],"on":[139],"two":[140],"benchmark":[141],"ESC":[142,172],"datasets":[143],"viz.":[144],"ESC-10":[145],"DCASE-2019":[147],"Task-1A":[148],"datasets.":[149],"experiments":[151],"results":[153],"comparable":[164],"competitive":[166],"performance":[167],"state-of-the-art":[169],"(SOTA)":[170],"models.":[173]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
