{"id":"https://openalex.org/W3183685509","doi":"https://doi.org/10.23919/date51398.2021.9474098","title":"GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation","display_name":"GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3183685509","doi":"https://doi.org/10.23919/date51398.2021.9474098","mag":"3183685509"},"language":"en","primary_location":{"id":"doi:10.23919/date51398.2021.9474098","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5054741384","display_name":"Jiajia Jiao","orcid":"https://orcid.org/0000-0003-3680-787X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiajia Jiao","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA","Shanghai Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Shanghai Maritime University, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072879381","display_name":"Debjit Pal","orcid":"https://orcid.org/0000-0003-3722-5126"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debjit Pal","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110237905","display_name":"Chenhui Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenhui Deng","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037210004","display_name":"Zhiru Zhang","orcid":"https://orcid.org/0000-0002-0778-0308"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiru Zhang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9775999784469604,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9455999732017517,"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":0.8229607343673706},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6927974224090576},{"id":"https://openalex.org/keywords/soft-error","display_name":"Soft error","score":0.6599254608154297},{"id":"https://openalex.org/keywords/fault-injection","display_name":"Fault injection","score":0.5769170522689819},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5069503784179688},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.4564937651157379},{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.4335167407989502},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4223175644874573},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41248300671577454},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4015344977378845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36210834980010986},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35509344935417175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23910704255104065},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18613827228546143},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.1501811444759369},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09289008378982544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229607343673706},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6927974224090576},{"id":"https://openalex.org/C154474529","wikidata":"https://www.wikidata.org/wiki/Q1658917","display_name":"Soft error","level":2,"score":0.6599254608154297},{"id":"https://openalex.org/C2775928411","wikidata":"https://www.wikidata.org/wiki/Q2041312","display_name":"Fault injection","level":3,"score":0.5769170522689819},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5069503784179688},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.4564937651157379},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.4335167407989502},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4223175644874573},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41248300671577454},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4015344977378845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36210834980010986},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35509344935417175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23910704255104065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18613827228546143},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.1501811444759369},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09289008378982544},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date51398.2021.9474098","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W35708471","https://openalex.org/W2087978139","https://openalex.org/W2554131156","https://openalex.org/W2624431344","https://openalex.org/W2883034956","https://openalex.org/W2899927447","https://openalex.org/W2905224888","https://openalex.org/W2940949463","https://openalex.org/W2946276531","https://openalex.org/W2963224980","https://openalex.org/W2969507426","https://openalex.org/W2985223427","https://openalex.org/W3041678444","https://openalex.org/W3092027164","https://openalex.org/W3112616759","https://openalex.org/W3150764511","https://openalex.org/W4294558607","https://openalex.org/W6738964360","https://openalex.org/W6757374366","https://openalex.org/W6762211163"],"related_works":["https://openalex.org/W2044069930","https://openalex.org/W2078707653","https://openalex.org/W3196277062","https://openalex.org/W4224229821","https://openalex.org/W2079643259","https://openalex.org/W2782341877","https://openalex.org/W2593605297","https://openalex.org/W2969553121","https://openalex.org/W1553526993","https://openalex.org/W2408771053"],"abstract_inverted_index":{"Due":[0],"to":[1,17,32,48,58,78,85,122,132,164,180,190,196,209,220],"the":[2,22,80,142,156],"continuous":[3],"technology":[4],"scaling":[5],"and":[6,50,70,104,118,129,178,203],"lowering":[7],"of":[8,126,146,149,159,223],"operating":[9],"voltages,":[10],"modern":[11],"computer":[12,41],"systems":[13,42],"are":[14],"highly":[15],"vulnerable":[16,53,212],"soft":[18,89],"errors":[19,26],"induced":[20,107],"by":[21],"high-energy":[23],"particles.":[24],"Soft":[25],"can":[27,172,206],"corrupt":[28],"program":[29,54,64,81,133,144,184],"outputs":[30,134],"leading":[31],"silent":[33],"data":[34],"corruption":[35],"or":[36,74],"a":[37,97,113,136,147,191,215,221],"Crash.":[38],"To":[39],"protect":[40],"against":[43,88],"such":[44],"failures,":[45],"architects":[46],"need":[47,57,84],"precisely":[49],"quickly":[51],"identify":[52,79],"instructions":[55,82,213],"that":[56,83,155,170],"be":[59,86],"protected.":[60],"Traditional":[61],"techniques":[62],"for":[63,101,214],"reliability":[65],"estimation":[66,186,201],"either":[67],"use":[68],"expensive":[69],"time-consuming":[71],"fault":[72],"injection":[73],"inaccurate":[75],"analytical":[76],"models":[77],"protected":[87],"errors.":[90],"In":[91],"this":[92],"work,":[93],"we":[94],"present":[95],"GLAIVE,":[96],"graph":[98],"learning-assisted":[99],"model":[100],"fast,":[102],"accurate,":[103],"transferable":[105,163],"soft-error":[106],"instruction":[108,160],"vulnerability":[109,161,185,200],"estimation.":[110],"GLAIVE":[111,171],"leverages":[112],"synergy":[114],"between":[115],"static":[116],"analysis":[117],"data-driven":[119],"statistical":[120],"reasoning":[121],"automatically":[123],"learn":[124],"signatures":[125],"instruction-level":[127],"vulnerabilities":[128],"their":[130],"propagation":[131,139],"using":[135],"fine-grain":[137],"error":[138,187],"information":[140],"from":[141],"bit-level":[143],"graphs":[145],"set":[148,222],"realistic":[150],"benchmarks.":[151],"Our":[152],"experiments":[153],"show":[154,169],"learned":[157],"knowledge":[158],"is":[162],"unseen":[165],"programs.":[166],"We":[167],"further":[168],"achieve":[173],"an":[174],"average":[175,205],"221\u00d7":[176],"speedup":[177],"up":[179,195,208],"33.09":[181],"%":[182,198,211],"lower":[183],"as":[188],"compared":[189,219],"baseline":[192,224],"fault-injection":[193],"technique,":[194],"30.29":[197],"higher":[199],"accuracy,":[202],"on":[204],"cover":[207],"90.23":[210],"given":[216],"protection":[217],"budget":[218],"machine":[225],"learning":[226],"algorithms.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
