{"id":"https://openalex.org/W3089756992","doi":"https://doi.org/10.1145/3377811.3380353","title":"Misbehaviour prediction for autonomous driving systems","display_name":"Misbehaviour prediction for autonomous driving systems","publication_year":2020,"publication_date":"2020-06-27","ids":{"openalex":"https://openalex.org/W3089756992","doi":"https://doi.org/10.1145/3377811.3380353","mag":"3089756992"},"language":"en","primary_location":{"id":"doi:10.1145/3377811.3380353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377811.3380353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","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/A5058345649","display_name":"Andrea Stocco","orcid":"https://orcid.org/0000-0001-8956-3894"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andrea Stocco","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055632295","display_name":"Michael Wei\u00df","orcid":"https://orcid.org/0000-0002-8944-389X"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Weiss","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022937982","display_name":"Marco Calzana","orcid":null},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marco Calzana","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025438762","display_name":"Paolo Tonella","orcid":"https://orcid.org/0000-0003-3088-0339"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Paolo Tonella","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57201433"],"apc_list":null,"apc_paid":null,"fwci":9.449,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.98537549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9973000288009644,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8035616874694824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258265018463135},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.721109926700592},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6232776641845703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5947535634040833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5898552536964417},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5072583556175232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4086984395980835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07195696234703064}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8035616874694824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258265018463135},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.721109926700592},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6232776641845703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5947535634040833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5898552536964417},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5072583556175232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4086984395980835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07195696234703064},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377811.3380353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377811.3380353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8384393741","display_name":"Self-assessment Oracles for Anticipatory Testing","funder_award_id":"787703","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1941077227","https://openalex.org/W1966716734","https://openalex.org/W1976526581","https://openalex.org/W1995875735","https://openalex.org/W2056612043","https://openalex.org/W2064675550","https://openalex.org/W2127979711","https://openalex.org/W2136655611","https://openalex.org/W2282861635","https://openalex.org/W2342840547","https://openalex.org/W2495601248","https://openalex.org/W2561380899","https://openalex.org/W2579718262","https://openalex.org/W2616028256","https://openalex.org/W2747329762","https://openalex.org/W2766734825","https://openalex.org/W2775678306","https://openalex.org/W2784675945","https://openalex.org/W2785362611","https://openalex.org/W2802147849","https://openalex.org/W2809671526","https://openalex.org/W2883145010","https://openalex.org/W2888307014","https://openalex.org/W2888483609","https://openalex.org/W2899948687","https://openalex.org/W2919275752","https://openalex.org/W2937523352","https://openalex.org/W2954629067","https://openalex.org/W2957066083","https://openalex.org/W2962867073","https://openalex.org/W2963166639","https://openalex.org/W2963327228","https://openalex.org/W2963392613","https://openalex.org/W2964164993","https://openalex.org/W2970752013","https://openalex.org/W2991005916","https://openalex.org/W3032026348","https://openalex.org/W3047745496","https://openalex.org/W3098957257","https://openalex.org/W3105599650","https://openalex.org/W3153872861","https://openalex.org/W4249282491","https://openalex.org/W4302805316"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"are":[4],"the":[5,44],"core":[6],"component":[7],"of":[8,33],"modern":[9],"autonomous":[10],"driving":[11,27],"systems.":[12],"To":[13],"date,":[14],"it":[15],"is":[16],"still":[17],"unrealistic":[18],"that":[19,36],"a":[20],"DNN":[21],"will":[22],"generalize":[23],"correctly":[24],"to":[25],"all":[26],"conditions.":[28],"Current":[29],"testing":[30],"techniques":[31],"consist":[32],"offline":[34],"solutions":[35],"identify":[37],"adversarial":[38],"or":[39],"corner":[40],"cases":[41],"for":[42],"improving":[43],"training":[45],"phase.":[46]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":6}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}