{"id":"https://openalex.org/W4400106283","doi":"https://doi.org/10.1145/3655532.3655574","title":"Fuzzing for Deep Learning Models","display_name":"Fuzzing for Deep Learning Models","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4400106283","doi":"https://doi.org/10.1145/3655532.3655574"},"language":"en","primary_location":{"id":"doi:10.1145/3655532.3655574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655532.3655574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Robot Systems and Applications","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/A5006355490","display_name":"Bo Wu","orcid":"https://orcid.org/0009-0003-0318-1150"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robotics, Wuhan Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-0318-1150","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robotics, Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057724775","display_name":"Deng Chen","orcid":"https://orcid.org/0000-0001-6359-801X"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Chen","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Robotics, Wuhan Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6359-801X","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Robotics, Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91125648"],"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":"243","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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":0.9984999895095825,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9977999925613403,"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/fuzz-testing","display_name":"Fuzz testing","score":0.9320924282073975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394718527793884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5155794024467468},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4564128518104553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3665383756160736},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1803271770477295},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.05949714779853821}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9320924282073975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394718527793884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5155794024467468},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4564128518104553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3665383756160736},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1803271770477295},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.05949714779853821}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3655532.3655574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655532.3655574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Robot Systems and Applications","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":14,"referenced_works":["https://openalex.org/W2616028256","https://openalex.org/W2725449579","https://openalex.org/W2804337238","https://openalex.org/W2886698796","https://openalex.org/W2888824816","https://openalex.org/W2954855426","https://openalex.org/W2955224284","https://openalex.org/W3000442532","https://openalex.org/W3007157104","https://openalex.org/W3036286896","https://openalex.org/W3090943961","https://openalex.org/W6600195515","https://openalex.org/W6600547436","https://openalex.org/W6676297131"],"related_works":["https://openalex.org/W3072699177","https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Deep":[0],"learning":[1,64],"models":[2,65],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7],"security":[8],"fields":[9],"such":[10],"as":[11],"autonomous":[12],"vehicles,":[13],"and":[14,41,117],"the":[15,77,86,90,98,102,106,111,115,118,122],"testing":[16,30,97],"of":[17,33,43,79,89,114],"their":[18],"quality":[19,40,78],"problems":[20],"has":[21,26],"gradually":[22],"attracted":[23],"attention.":[24],"Fuzzing":[25],"become":[27],"an":[28],"important":[29],"method":[31,61],"because":[32],"its":[34],"efficient":[35],"fault":[36],"revealing":[37],"ability.":[38],"The":[39],"effectiveness":[42],"test":[44,74,80,108],"cases":[45,81,109],"generated":[46,107],"by":[47],"existing":[48],"fuzzing":[49,60],"methods":[50],"are":[51],"not":[52],"high.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"a":[59],"for":[62],"deep":[63],"that":[66,85,105],"uses":[67],"heuristic":[68],"policy":[69],"mutation":[70],"inputs":[71],"to":[72,120],"generate":[73],"cases.":[75],"Thus,":[76],"is":[82,126],"improved,":[83],"so":[84],"classification":[87,100,124],"error":[88,125],"model":[91,123],"can":[92],"be":[93],"tested":[94],"faster.":[95],"By":[96],"image":[99],"model,":[101,116],"experiments":[103],"show":[104],"improve":[110],"neuron":[112],"coverage":[113],"time":[119],"find":[121],"shorter.":[127]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}