{"id":"https://openalex.org/W2964882141","doi":"https://doi.org/10.24963/ijcai.2019/800","title":"DiffChaser: Detecting Disagreements for Deep Neural Networks","display_name":"DiffChaser: Detecting Disagreements for Deep Neural Networks","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2964882141","doi":"https://doi.org/10.24963/ijcai.2019/800","mag":"2964882141"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/800","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/800","pdf_url":"https://www.ijcai.org/proceedings/2019/0800.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0800.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084396416","display_name":"Xiaofei Xie","orcid":"https://orcid.org/0000-0002-1288-6502"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaofei Xie","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101468661","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-8621-2420"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["Kyushu University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629362","display_name":"Haijun Wang","orcid":"https://orcid.org/0000-0003-2481-9662"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haijun Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068561556","display_name":"Yuekang Li","orcid":"https://orcid.org/0000-0003-4382-0757"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuekang Li","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Nanyang Technological University, Singapore","Zhejiang Sci-Tech University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Zhejiang Sci-Tech University, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451509","display_name":"Xiaohong Li","orcid":"https://orcid.org/0000-0002-0752-6764"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Li","raw_affiliation_strings":["Tianjin University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4512,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.97418834,"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":"5772","last_page":"5778"},"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":0.9986000061035156,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7648881673812866},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.6447364091873169},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6158502697944641},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6063951253890991},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5960279107093811},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5874506235122681},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.571327805519104},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.47218433022499084},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4717118442058563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4557194411754608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41943034529685974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32735997438430786},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32147789001464844},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1755085289478302},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1468018889427185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12089264392852783},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07987949252128601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648881673812866},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.6447364091873169},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6158502697944641},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6063951253890991},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5960279107093811},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5874506235122681},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.571327805519104},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.47218433022499084},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4717118442058563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4557194411754608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41943034529685974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32735997438430786},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32147789001464844},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1755085289478302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1468018889427185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12089264392852783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07987949252128601},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/800","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/800","pdf_url":"https://www.ijcai.org/proceedings/2019/0800.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8108","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8108&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.24963/ijcai.2019/800","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/800","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/800","pdf_url":"https://www.ijcai.org/proceedings/2019/0800.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3070199737","display_name":"Automated Testing of Deep Learning Systems","funder_award_id":"19H04086","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4045071619","display_name":null,"funder_award_id":"NRF2018NCR-NCR005-0001","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G6828898563","display_name":null,"funder_award_id":"NRF2018NCR-NSOE003-0001","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964882141.pdf","grobid_xml":"https://content.openalex.org/works/W2964882141.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1585377561","https://openalex.org/W1945616565","https://openalex.org/W2112796928","https://openalex.org/W2141125852","https://openalex.org/W2160815625","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2460937040","https://openalex.org/W2616028256","https://openalex.org/W2753704268","https://openalex.org/W2766839578","https://openalex.org/W2799640043","https://openalex.org/W2922015121","https://openalex.org/W2949346385","https://openalex.org/W2957905354","https://openalex.org/W2963207607","https://openalex.org/W2963327228","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2964203871","https://openalex.org/W2968940383","https://openalex.org/W3099444373","https://openalex.org/W3100935330","https://openalex.org/W4250843460","https://openalex.org/W4297666078"],"related_works":["https://openalex.org/W4321442002","https://openalex.org/W2015265939","https://openalex.org/W2284072287","https://openalex.org/W2611067230","https://openalex.org/W2480201319","https://openalex.org/W2387706296","https://openalex.org/W2155788121","https://openalex.org/W4235469518","https://openalex.org/W2770234245","https://openalex.org/W362492756"],"abstract_inverted_index":{"The":[0],"platform":[1],"migration":[2],"and":[3,29,61,70,83,92,129,141],"customization":[4],"have":[5],"become":[6],"an":[7,35,103],"indispensable":[8],"process":[9],"of":[10,58,115],"deep":[11],"neural":[12],"network":[13],"(DNN)":[14],"development":[15],"lifecycle.":[16],"A":[17,50],"high-precision":[18],"but":[19],"complex":[20],"DNN":[21,60,82,135],"trained":[22],"in":[23,133],"the":[24,56,73,77,95,126],"cloud":[25],"on":[26],"massive":[27],"data":[28],"powerful":[30],"GPUs":[31],"often":[32,88],"goes":[33],"through":[34],"optimization":[36,74],"phase":[37],"(e.g,":[38,47],"quantization,":[39],"compression)":[40],"before":[41],"deployment":[42,137],"to":[43,68,90,108],"a":[44,59,81,116],"target":[45],"device":[46],"mobile":[48],"device).":[49],"test":[51,97],"set":[52],"that":[53],"effectively":[54],"uncovers":[55],"disagreements":[57,111],"its":[62,84,121,131],"optimized":[63,85],"variant":[64],"provides":[65],"certain":[66],"feedback":[67],"debug":[69],"further":[71],"enhance":[72],"procedure.":[75],"However,":[76],"minor":[78],"inconsistency":[79],"between":[80,112],"version":[86,113],"is":[87],"hard":[89],"detect":[91,109],"easily":[93],"bypasses":[94],"original":[96],"set.":[98],"This":[99],"paper":[100],"proposes":[101],"DiffChaser,":[102],"automated":[104],"black-box":[105],"testing":[106],"framework":[107],"untargeted/targeted":[110],"variants":[114],"DNN.":[117],"We":[118],"demonstrate":[119],"1)":[120],"effectiveness":[122],"by":[123],"comparing":[124],"with":[125,139],"state-of-the-art":[127],"techniques,":[128],"2)":[130],"usefulness":[132],"real-world":[134],"product":[136],"involved":[138],"quantization":[140],"optimization.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":16}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}