{"id":"https://openalex.org/W2913796694","doi":"https://doi.org/10.1145/3285002.3285005","title":"Augmenting Machine Learning with Argumentation","display_name":"Augmenting Machine Learning with Argumentation","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2913796694","doi":"https://doi.org/10.1145/3285002.3285005","mag":"2913796694"},"language":"en","primary_location":{"id":"doi:10.1145/3285002.3285005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3285002.3285005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the New Security Paradigms Workshop","raw_type":"proceedings-article"},"type":"article","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/A5053448222","display_name":"Matt Bishop","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matt Bishop","raw_affiliation_strings":["University of California at Davis"],"affiliations":[{"raw_affiliation_string":"University of California at Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109880287","display_name":"Carrie Gates","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carrie Gates","raw_affiliation_strings":["Securelytix"],"affiliations":[{"raw_affiliation_string":"Securelytix","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009965537","display_name":"Karl Levitt","orcid":"https://orcid.org/0000-0002-1464-2966"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Levitt","raw_affiliation_strings":["University of California at Davis"],"affiliations":[{"raw_affiliation_string":"University of California at Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053448222"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.3257,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69613869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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":0.996399998664856,"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/T11719","display_name":"Data Quality and Management","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7898929119110107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671191930770874},{"id":"https://openalex.org/keywords/argumentation-theory","display_name":"Argumentation theory","score":0.6063566207885742},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5276324152946472},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46628403663635254},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.43669241666793823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4340018630027771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43109130859375},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3988467752933502},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12877196073532104}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7898929119110107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671191930770874},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.6063566207885742},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5276324152946472},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46628403663635254},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.43669241666793823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4340018630027771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43109130859375},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3988467752933502},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12877196073532104},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3285002.3285005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3285002.3285005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the New Security Paradigms Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":34,"referenced_works":["https://openalex.org/W78092457","https://openalex.org/W1224593062","https://openalex.org/W1542399824","https://openalex.org/W1758782597","https://openalex.org/W1881144605","https://openalex.org/W1965944404","https://openalex.org/W1981311312","https://openalex.org/W1997210479","https://openalex.org/W2013627100","https://openalex.org/W2030154417","https://openalex.org/W2049799298","https://openalex.org/W2059088240","https://openalex.org/W2062118960","https://openalex.org/W2099471712","https://openalex.org/W2104126268","https://openalex.org/W2108004830","https://openalex.org/W2121034979","https://openalex.org/W2132180216","https://openalex.org/W2133761762","https://openalex.org/W2135143063","https://openalex.org/W2142877744","https://openalex.org/W2143891888","https://openalex.org/W2163296687","https://openalex.org/W2229618114","https://openalex.org/W2502662055","https://openalex.org/W2559655401","https://openalex.org/W2598296510","https://openalex.org/W2759697527","https://openalex.org/W2766728447","https://openalex.org/W2787684613","https://openalex.org/W2913796694","https://openalex.org/W2952920565","https://openalex.org/W2963374347","https://openalex.org/W2963796896"],"related_works":["https://openalex.org/W2141332034","https://openalex.org/W4256185029","https://openalex.org/W4388437769","https://openalex.org/W2762454042","https://openalex.org/W2064153856","https://openalex.org/W2337488240","https://openalex.org/W52290235","https://openalex.org/W3007362904","https://openalex.org/W4214900125","https://openalex.org/W1598849238"],"abstract_inverted_index":{"The":[0],"information":[1],"security":[2,45],"community":[3],"is":[4,115],"haunted":[5],"by":[6,53],"the":[7,16,44,72,91,96],"failure":[8],"of":[9,98],"an":[10,26],"appropriate":[11],"break-the-glass":[12],"access":[13],"control":[14],"at":[15],"United":[17],"States":[18],"Center":[19],"for":[20],"Disease":[21],"Control":[22],"that":[23,65,74,112],"led":[24],"to":[25,61,69,85,94,117,129],"estimated":[27],"additional":[28],"1.2":[29],"million":[30],"deaths":[31],"in":[32,35,47,90],"North":[33],"America":[34],"2036.":[36],"In":[37],"this":[38,48,104],"paper":[39],"we":[40,102,110],"review":[41],"what":[42],"caused":[43],"failures":[46,73],"system":[49,64],"and":[50,83,87],"argue":[51],"that,":[52],"combining":[54],"human":[55,67],"intelligence":[56],"with":[57],"multiple":[58],"technological":[59],"approaches":[60,68,125],"create":[62],"a":[63,118],"emphasizes":[66],"guide":[70],"analysis,":[71],"occurred":[75],"will":[76],"not":[77],"recur.":[78],"We":[79],"also":[80],"leverage":[81],"people":[82],"technologies":[84],"identify":[86],"fill":[88],"gaps":[89],"training":[92],"data":[93],"minimize":[95],"threat":[97],"unexpected":[99],"events.":[100],"While":[101],"use":[103],"scenario":[105],"as":[106],"our":[107,113],"running":[108],"example,":[109],"note":[111],"approach":[114],"generalizable":[116],"broader":[119],"problem":[120],"space":[121],"where":[122],"machine":[123],"learning":[124],"have":[126],"been":[127],"deployed":[128],"make":[130],"decisions.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}