{"id":"https://openalex.org/W4389215090","doi":"https://doi.org/10.1145/3617574.3617862","title":"The Case for Scalable Quantitative Neural Network Analysis","display_name":"The Case for Scalable Quantitative Neural Network Analysis","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389215090","doi":"https://doi.org/10.1145/3617574.3617862"},"language":"en","primary_location":{"id":"doi:10.1145/3617574.3617862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617574.3617862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617574.3617862","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3617574.3617862","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043306715","display_name":"Mara Downing","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mara Downing","raw_affiliation_strings":["University of California at Santa Barbara, Santa Barbara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Santa Barbara, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039991493","display_name":"Tevfik Bultan","orcid":"https://orcid.org/0000-0003-2993-1215"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tevfik Bultan","raw_affiliation_strings":["University of California at Santa Barbara, Santa Barbara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Santa Barbara, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15801177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"25"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9934999942779541,"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":0.9682000279426575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8976913094520569},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.8966338634490967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050540685653687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6587477326393127},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6471878886222839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217733979225159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4586695432662964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4041590094566345},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.347709059715271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14190420508384705},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0794965922832489}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8976913094520569},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.8966338634490967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050540685653687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6587477326393127},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6471878886222839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217733979225159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4586695432662964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4041590094566345},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.347709059715271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14190420508384705},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0794965922832489},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617574.3617862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617574.3617862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617574.3617862","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3617574.3617862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617574.3617862","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617574.3617862","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G8708120587","display_name":null,"funder_award_id":"2124039","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389215090.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1893133781","https://openalex.org/W1966501463","https://openalex.org/W1995562189","https://openalex.org/W2412782625","https://openalex.org/W2574017551","https://openalex.org/W2594877703","https://openalex.org/W2618530766","https://openalex.org/W2789524546","https://openalex.org/W2791251367","https://openalex.org/W2794609696","https://openalex.org/W2885851392","https://openalex.org/W2947265301","https://openalex.org/W2955031793","https://openalex.org/W2957311447","https://openalex.org/W2963037989","https://openalex.org/W2963054787","https://openalex.org/W2963327228","https://openalex.org/W2963334980","https://openalex.org/W2963998105","https://openalex.org/W2989358546","https://openalex.org/W3005807947","https://openalex.org/W3035574168","https://openalex.org/W3089336663","https://openalex.org/W3090108751","https://openalex.org/W3208726545","https://openalex.org/W3210661079"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"Neural":[0],"networks":[1,37,58,79],"are":[2,59,97,106],"an":[3],"increasingly":[4],"common":[5],"tool":[6],"for":[7,38],"solving":[8],"problems":[9],"that":[10,117],"require":[11],"complex":[12],"analysis":[13],"and":[14,40,72,93,110,129],"pattern":[15],"matching,":[16],"such":[17,143],"as":[18,46,144],"identifying":[19],"stop":[20],"signs":[21],"in":[22,52,67,83],"a":[23,86,124,140],"self":[24],"driving":[25],"car":[26],"or":[27],"processing":[28],"medical":[29],"imagery":[30],"during":[31],"diagnosis.":[32],"Accordingly,":[33],"verification":[34],"of":[35,43,78,89,104,121,123,132],"neural":[36,57,126],"safety":[39,53,92],"correctness":[41],"is":[42,85,112],"great":[44],"importance,":[45],"mispredictions":[47],"can":[48],"have":[49],"catastrophic":[50],"results":[51],"critical":[54],"domains.":[55],"As":[56],"known":[60],"to":[61,64,70,80,114],"be":[62],"sensitive":[63],"small":[65,81],"changes":[66,82],"input,":[68],"leading":[69],"vulnerabilities":[71],"adversarial":[73],"attacks,":[74],"analyzing":[75],"the":[76,102,119],"robustness":[77,105,122,133],"input":[84],"key":[87],"piece":[88],"evaluating":[90],"their":[91],"correctness.":[94],"However,":[95],"there":[96],"many":[98],"real-world":[99],"scenarios":[100],"where":[101],"requirements":[103],"not":[107,147],"clear":[108],"cut,":[109],"it":[111],"crucial":[113],"develop":[115],"measures":[116],"assess":[118],"level":[120],"given":[125],"network":[127],"model":[128],"compare":[130],"levels":[131],"across":[134],"different":[135],"models,":[136],"rather":[137],"than":[138],"using":[139],"binary":[141],"characterization":[142],"robust":[145],"vs.":[146],"robust.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
