{"id":"https://openalex.org/W4294659034","doi":"https://doi.org/10.18293/seke2022-126","title":"DeepController: Feedback-Directed Fuzzing for Deep Learning Systems","display_name":"DeepController: Feedback-Directed Fuzzing for Deep Learning Systems","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4294659034","doi":"https://doi.org/10.18293/seke2022-126"},"language":"en","primary_location":{"id":"doi:10.18293/seke2022-126","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2022-126","pdf_url":"https://doi.org/10.18293/seke2022-126","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2022-126","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051273381","display_name":"Hepeng Dai","orcid":"https://orcid.org/0000-0001-5507-3053"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hepeng Dai","raw_affiliation_strings":["University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048309076","display_name":"Chang\u2010ai Sun","orcid":"https://orcid.org/0000-0003-3696-6176"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-ai Sun","raw_affiliation_strings":["University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033550181","display_name":"Huai Liu","orcid":"https://orcid.org/0000-0003-3125-4399"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Huai Liu","raw_affiliation_strings":["Swinburne University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54847487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2022","issue":null,"first_page":"531","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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":0.995199978351593,"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":0.9955466985702515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728793621063232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.568019449710846},{"id":"https://openalex.org/keywords/code-coverage","display_name":"Code coverage","score":0.5438100099563599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217555165290833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5047036409378052},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12821674346923828}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9955466985702515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728793621063232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.568019449710846},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.5438100099563599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217555165290833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5047036409378052},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12821674346923828},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2022-126","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2022-126","pdf_url":"https://doi.org/10.18293/seke2022-126","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2022-126","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2022-126","pdf_url":"https://doi.org/10.18293/seke2022-126","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2758844080","display_name":"\u9762\u5411\u670d\u52a1\u7ec4\u5408\u7a0b\u5e8f\u7684\u6545\u969c\u5b9a\u4f4d\u4e0e\u4fee\u590d\u6280\u672f\u7814\u7a76","funder_award_id":"61872039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5026176785","display_name":null,"funder_award_id":"FRF-GF-19-019B","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294659034.pdf","grobid_xml":"https://content.openalex.org/works/W4294659034.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2353267094","https://openalex.org/W2519881488","https://openalex.org/W2753704268","https://openalex.org/W2888824816","https://openalex.org/W2905569079","https://openalex.org/W2945260475","https://openalex.org/W2949346385","https://openalex.org/W2954855426","https://openalex.org/W2957905354","https://openalex.org/W2972204217","https://openalex.org/W2990266720","https://openalex.org/W2994150880","https://openalex.org/W2998366771","https://openalex.org/W2999084989","https://openalex.org/W3007157104","https://openalex.org/W3043716470","https://openalex.org/W3100935330","https://openalex.org/W3114889330","https://openalex.org/W3118608800","https://openalex.org/W3208708185","https://openalex.org/W6726880715","https://openalex.org/W6751664357","https://openalex.org/W6910318977"],"related_works":["https://openalex.org/W3072699177","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313066017","https://openalex.org/W4364306694"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"systems":[3],"are":[4,13,43],"increasingly":[5],"adopted":[6],"in":[7,16,86],"various":[8],"fields,":[9],"while":[10],"fatal":[11],"failures":[12],"still":[14],"inevitable":[15],"them.":[17],"One":[18],"mainstream":[19],"testing":[20,136],"approach":[21],"for":[22,138],"DL":[23,109,139],"is":[24,75,99],"fuzzing,":[25],"which":[26,78],"can":[27,123],"generate":[28,124],"a":[29,67],"large":[30],"amount":[31],"of":[32,64,81,120],"semi-random":[33],"yet":[34],"syntactically":[35],"valid":[36],"test":[37,88],"cases.":[38],"Previous":[39],"studies":[40,103],"on":[41,46,104],"fuzzing":[42,65],"mainly":[44],"focused":[45],"selecting":[47],"\"quality\"":[48],"seeds":[49,94],"or":[50],"using":[51],"\"good\"":[52],"mutation":[53,96],"strategies.":[54,97],"In":[55],"this":[56],"paper,":[57],"we":[58],"attempt":[59],"to":[60,91],"improve":[61],"the":[62,82,87,117,134],"performance":[63],"from":[66],"different":[68],"perspective.":[69],"A":[70],"new":[71],"fuzzer,":[72],"namely":[73],"DeepController,":[74],"accordingly":[76],"developed,":[77],"makes":[79],"use":[80],"feedback":[83],"information":[84],"obtained":[85],"execution":[89],"process":[90],"dynamically":[92],"select":[93],"and":[95,107,128],"DeepController":[98,122],"evaluated":[100],"through":[101],"empirical":[102],"three":[105],"datasets":[106],"eight":[108],"models.":[110],"The":[111],"experimental":[112],"results":[113],"show":[114],"that,":[115],"with":[116],"same":[118],"number":[119],"seeds,":[121],"more":[125],"adversarial":[126],"inputs":[127],"achieve":[129],"higher":[130],"neuron":[131],"coverage":[132],"than":[133],"state-of-the-art":[135],"techniques":[137],"systems.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}