{"id":"https://openalex.org/W4413320429","doi":"https://doi.org/10.1109/iolts65288.2025.11117099","title":"Fault Tolerance in Quantized and Pruned Convolutional Neural Networks","display_name":"Fault Tolerance in Quantized and Pruned Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413320429","doi":"https://doi.org/10.1109/iolts65288.2025.11117099"},"language":"en","primary_location":{"id":"doi:10.1109/iolts65288.2025.11117099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts65288.2025.11117099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-05313661","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093985083","display_name":"Wilfread Guillem\u00e9","orcid":"https://orcid.org/0009-0006-9192-7697"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wilfread Guillem\u00e9","raw_affiliation_strings":["Univ. Rennes, Inria/IRISA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Rennes, Inria/IRISA","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058810601","display_name":"Angeliki Kritikakou","orcid":"https://orcid.org/0000-0002-9293-469X"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Angeliki Kritikakou","raw_affiliation_strings":["Univ. Rennes, Inria/IRISA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Rennes, Inria/IRISA","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015165635","display_name":"Youri Helen","orcid":"https://orcid.org/0009-0007-9223-7759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youri Helen","raw_affiliation_strings":["DGA MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGA MI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020025860","display_name":"C\u00e9dric Killian","orcid":"https://orcid.org/0000-0003-1525-4225"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Killian","raw_affiliation_strings":["Universit&#x00E9; Jean Monnet Saint-Etienne, CNRS, Institut d&#x0027;Optique Graduate School,Laboratoire Hubert Curien UMR 5516,SAINT-ETIENNE,France,F-42023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Jean Monnet Saint-Etienne, CNRS, Institut d&#x0027;Optique Graduate School,Laboratoire Hubert Curien UMR 5516,SAINT-ETIENNE,France,F-42023","institution_ids":["https://openalex.org/I86767153","https://openalex.org/I1294671590","https://openalex.org/I4210085887"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102801579","display_name":"Daniel Chillet","orcid":"https://orcid.org/0000-0003-3414-9084"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniel Chillet","raw_affiliation_strings":["Univ. Rennes, Inria/IRISA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Rennes, Inria/IRISA","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5558,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84325279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9549000263214111,"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":0.9408000111579895,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7840358018875122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463008165359497},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.5923442244529724},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44127747416496277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.391513854265213},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.20516696572303772}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7840358018875122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463008165359497},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.5923442244529724},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44127747416496277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.391513854265213},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.20516696572303772}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iolts65288.2025.11117099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts65288.2025.11117099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05313661v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05313661","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IOLTS 2025 - IEEE 31st International Symposium on On-Line Testing and Robust System Design, Jul 2025, Ischia, Italy. pp.1-7, &#x27E8;10.1109/IOLTS65288.2025.11117099&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05313661v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05313661","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IOLTS 2025 - IEEE 31st International Symposium on On-Line Testing and Robust System Design, Jul 2025, Ischia, Italy. pp.1-7, &#x27E8;10.1109/IOLTS65288.2025.11117099&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2943759410","https://openalex.org/W2945146780","https://openalex.org/W3036979375","https://openalex.org/W3112790703","https://openalex.org/W3120425629","https://openalex.org/W3149134903","https://openalex.org/W4213038514","https://openalex.org/W4226335630","https://openalex.org/W4280598352","https://openalex.org/W4379115996","https://openalex.org/W4384026373","https://openalex.org/W4385976015","https://openalex.org/W4401329211","https://openalex.org/W4404520766"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN),":[3],"particularly":[4],"those":[5],"used":[6],"in":[7,56,190],"critical":[8],"applications,":[9],"such":[10,201],"as":[11,143,155,202],"autonomous":[12],"driving,":[13],"medical":[14],"systems,":[15],"and":[16,38,63,71,133],"aerospace,":[17],"require":[18],"high":[19],"reliability.":[20],"While":[21],"these":[22,112],"algorithms":[23],"exhibit":[24],"inherent":[25],"resilience,":[26,191],"they":[27],"remain":[28,97],"sus-ceptible":[29],"to":[30,54,76,106,125,176,197],"Single-Event":[31],"Effects":[32],"(SEE)":[33],"occurring":[34],"at":[35],"the":[36,40,65,78,92,127,140,147,164,177],"hard-ware":[37],"impacting":[39],"model":[41,141],"execution.":[42],"These":[43],"effects,":[44],"usually":[45],"induced":[46],"by":[47],"interactions":[48],"with":[49,170,192],"radiation":[50],"particles,":[51],"can":[52],"lead":[53],"errors":[55],"electronic":[57],"components,":[58],"potentially":[59],"causing":[60],"incorrect":[61],"inferences":[62],"increasing":[64],"risk":[66],"of":[67,81,130,146,166,180],"mispredictions.":[68],"Meanwhile,":[69],"quantization":[70],"pruning":[72,148,156],"are":[73,94,174],"widely":[74],"employed":[75],"reduce":[77],"hardware":[79,167,194],"footprint":[80],"CNN":[82,96,135,152],"models,":[83],"facilitating":[84],"their":[85,108],"deployment":[86],"on":[87],"embedded":[88],"systems.":[89],"Even":[90],"when":[91],"models":[93],"reduced,":[95],"too":[98],"large":[99],"for":[100],"an":[101],"exhaustive":[102],"fault":[103,128],"injection":[104],"campaign":[105],"assess":[107],"resilience.":[109],"To":[110],"address":[111],"challenges,":[113],"we":[114,138],"propose":[115],"SFI4NN,":[116],"a":[117,144,186],"Statistical":[118],"Fault":[119],"Injection":[120],"(SFI)":[121],"framework":[122],"specifically":[123],"designed":[124],"evaluate":[126],"sensitivity":[129,153],"fixed-point":[131],"quantized":[132],"pruned":[134],"architectures.":[136],"Furthermore,":[137],"analyze":[139],"resilience":[142],"function":[145],"rate,":[149],"showing":[150],"that":[151,173],"increases":[154],"becomes":[157],"more":[158],"aggressive.":[159],"The":[160],"obtained":[161],"results":[162,184],"enable":[163],"development":[165],"hardening":[168,199],"strategies":[169],"reduced":[171],"costs":[172],"tailored":[175],"reliability":[178],"requirements":[179],"targeted":[181],"applications.":[182],"Experimental":[183],"demonstrate":[185],"96":[187],"%":[188],"improvement":[189],"minimal":[193],"overhead":[195],"compared":[196],"conventional":[198],"techniques":[200],"triplication.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
