{"id":"https://openalex.org/W3177116043","doi":"https://doi.org/10.1145/3468264.3468597","title":"Vulnerability detection with fine-grained interpretations","display_name":"Vulnerability detection with fine-grained interpretations","publication_year":2021,"publication_date":"2021-08-18","ids":{"openalex":"https://openalex.org/W3177116043","doi":"https://doi.org/10.1145/3468264.3468597","mag":"3177116043"},"language":"en","primary_location":{"id":"doi:10.1145/3468264.3468597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468264.3468597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.10478","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaohua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaohua Wang","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tien N. Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tien N. Nguyen","raw_affiliation_strings":["University of Texas at Dallas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas, USA","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":264,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/vulnerability","display_name":"Vulnerability (computing)","score":0.7135999798774719},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4717999994754791},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3504999876022339},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.29809999465942383},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.29429998993873596}],"concepts":[{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075000166893005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608000159263611},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4717999994754791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4025999903678894},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27959999442100525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3468264.3468597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468264.3468597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.10478","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.10478","pdf_url":"https://arxiv.org/pdf/2106.10478","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.10478","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.10478","pdf_url":"https://arxiv.org/pdf/2106.10478","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4350893680","display_name":null,"funder_award_id":"CCF-1723215, CCF-1723432, TWC-1723198, CCF-1518897, CNS-1513263","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2059215200","https://openalex.org/W2079753286","https://openalex.org/W2137952932","https://openalex.org/W2165004968","https://openalex.org/W2166336492","https://openalex.org/W2744752929","https://openalex.org/W2962960733","https://openalex.org/W2979566992","https://openalex.org/W3091588759"],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,20,37,42,53],"successes":[2],"of":[3,36,55,74],"machine":[4],"learning":[5,9],"(ML)":[6],"and":[7],"deep":[8],"(DL)-based":[10],"vulnerability":[11,50],"detectors":[12],"(VD),":[13],"they":[14],"are":[15],"limited":[16],"to":[17,41,60,68],"providing":[18],"only":[19],"decision":[21],"on":[22,33],"whether":[23],"a":[24],"given":[25],"code":[26,38],"is":[27,39],"vulnerable":[28,75],"or":[29],"not,":[30],"without":[31],"details":[32],"what":[34],"part":[35],"relevant":[40],"detected":[43],"vulnerability.":[44],"We":[45],"present":[46],"IVDetect,":[47],"an":[48],"interpretable":[49],"detector":[51],"with":[52],"philosophy":[54],"using":[56,64],"Artificial":[57],"Intelligence":[58,65],"(AI)":[59],"detect":[61],"vulnerabilities,":[62],"while":[63],"Assistant":[66],"(IA)":[67],"provide":[69],"VD":[70],"interpretations":[71],"in":[72],"terms":[73],"statements.":[76]},"counts_by_year":[{"year":2026,"cited_by_count":31},{"year":2025,"cited_by_count":93},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":13}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2021-07-05T00:00:00"}