{"id":"https://openalex.org/W4317671433","doi":"https://doi.org/10.48550/arxiv.2301.08114","title":"Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study","display_name":"Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study","publication_year":2023,"publication_date":"2023-01-19","ids":{"openalex":"https://openalex.org/W4317671433","doi":"https://doi.org/10.48550/arxiv.2301.08114"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2301.08114","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.08114","pdf_url":"https://arxiv.org/pdf/2301.08114","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.08114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021125896","display_name":"Adiel Ashrov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashrov, Adiel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102986148","display_name":"Guy Katz","orcid":"https://orcid.org/0000-0002-7729-8373"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katz, Guy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9973000288009644,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9973000288009644,"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/T10260","display_name":"Software Engineering Research","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9896000027656555,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7886415123939514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785790205001831},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.7413901686668396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5908640623092651},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5890257954597473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5377059578895569},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4762570858001709},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45923930406570435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43275177478790283},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17645660042762756},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09686937928199768}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7886415123939514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785790205001831},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7413901686668396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5908640623092651},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5890257954597473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5377059578895569},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4762570858001709},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45923930406570435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43275177478790283},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17645660042762756},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09686937928199768}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2301.08114","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.08114","pdf_url":"https://arxiv.org/pdf/2301.08114","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2301.08114","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2301.08114","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.08114","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.08114","pdf_url":"https://arxiv.org/pdf/2301.08114","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4317671433.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953205341","https://openalex.org/W235065745","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W4390833826","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"have":[4],"become":[5],"a":[6,138],"crucial":[7],"instrument":[8],"in":[9,31],"the":[10,58,74,91,94,99,112,115],"software":[11],"development":[12],"toolkit,":[13],"due":[14],"to":[15,18,89,123],"their":[16],"ability":[17],"efficiently":[19],"solve":[20],"complex":[21],"problems.":[22],"Nevertheless,":[23],"DNNs":[24],"are":[25,64,83],"highly":[26],"opaque,":[27],"and":[28,86,117,143,148],"can":[29],"behave":[30],"an":[32,121],"unexpected":[33],"manner":[34],"when":[35,61],"they":[36],"encounter":[37],"unfamiliar":[38],"input.":[39],"One":[40],"promising":[41],"approach":[42],"for":[43],"addressing":[44],"this":[45,135],"challenge":[46],"is":[47],"by":[48],"extending":[49],"DNN-based":[50,146],"systems":[51,147],"with":[52,130],"hand-crafted":[53],"override":[54,57,71],"rules,":[55],"which":[56,79,110,126],"DNN's":[59],"output":[60],"certain":[62],"conditions":[63],"met.":[65],"Here,":[66],"we":[67],"advocate":[68],"crafting":[69],"such":[70],"rules":[72,81],"using":[73],"well-studied":[75],"scenario-based":[76,124],"modeling":[77],"paradigm,":[78],"produces":[80],"that":[82],"simple,":[84],"extensible,":[85],"powerful":[87],"enough":[88],"ensure":[90],"safety":[92],"of":[93,114],"DNN,":[95],"while":[96],"also":[97],"rendering":[98],"system":[100],"more":[101,144],"translucent.":[102],"We":[103,133],"report":[104],"on":[105],"two":[106],"extensive":[107],"case":[108],"studies,":[109],"demonstrate":[111],"feasibility":[113],"approach;":[116],"through":[118],"them,":[119],"propose":[120],"extension":[122],"modeling,":[125],"facilitates":[127],"its":[128],"integration":[129],"DNN":[131],"components.":[132],"regard":[134],"work":[136],"as":[137],"step":[139],"towards":[140],"creating":[141],"safer":[142],"reliable":[145],"models.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
