{"id":"https://openalex.org/W4401329579","doi":"https://doi.org/10.1109/iolts60994.2024.10616090","title":"ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters","display_name":"ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4401329579","doi":"https://doi.org/10.1109/iolts60994.2024.10616090"},"language":"en","primary_location":{"id":"doi:10.1109/iolts60994.2024.10616090","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iolts60994.2024.10616090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS)","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/A5028010546","display_name":"Behnam Ghavami","orcid":"https://orcid.org/0000-0001-5391-383X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Behnam Ghavami","raw_affiliation_strings":["University of British Columbia,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027508220","display_name":"Mohammad Shahidzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Shahidzadeh","raw_affiliation_strings":["Simon Fraser University,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University,Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062627025","display_name":"Lesley Shannon","orcid":"https://orcid.org/0000-0002-7050-6184"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lesley Shannon","raw_affiliation_strings":["Simon Fraser University,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University,Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013246362","display_name":"Steven J. E. Wilton","orcid":"https://orcid.org/0000-0002-1241-6690"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Steve Wilton","raw_affiliation_strings":["University of British Columbia,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9271,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65957335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9990000128746033,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.6293004155158997},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6210557818412781},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5906574726104736},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5659538507461548},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5127133131027222},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.2202831506729126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18287897109985352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1803845465183258},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10038462281227112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293004155158997},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6210557818412781},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5906574726104736},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5659538507461548},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5127133131027222},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2202831506729126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18287897109985352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1803845465183258},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10038462281227112},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iolts60994.2024.10616090","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iolts60994.2024.10616090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2078659994","https://openalex.org/W2469490737","https://openalex.org/W2512630954","https://openalex.org/W2513554817","https://openalex.org/W2618939455","https://openalex.org/W2899675781","https://openalex.org/W2901848761","https://openalex.org/W2944988763","https://openalex.org/W2946682676","https://openalex.org/W2963122961","https://openalex.org/W3036979375","https://openalex.org/W3075036515","https://openalex.org/W3120425629","https://openalex.org/W3130641740","https://openalex.org/W3187862527","https://openalex.org/W3194300811","https://openalex.org/W3213097409","https://openalex.org/W4280513934","https://openalex.org/W4283697320","https://openalex.org/W4297337546","https://openalex.org/W4302792678","https://openalex.org/W4319865974","https://openalex.org/W6720242923","https://openalex.org/W6763559720"],"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":{"Low-precision":[0],"weights":[1],"and":[2,47,223],"activations":[3],"in":[4,13,24,90,106,145,148,155,185,211],"deep":[5],"neural":[6,63,78],"networks":[7,79],"(DNNs)":[8],"outperform":[9],"their":[10],"full-precision":[11],"counterparts":[12],"terms":[14],"of":[15,41,60,72,87,115,131,151],"hardware":[16],"efficiency.":[17],"When":[18],"implemented":[19],"with":[20],"low-precision":[21,62],"operations,":[22],"specifically":[23],"the":[25,35,70,85,129,149,156,165,174],"extreme":[26],"case":[27],"where":[28],"network":[29],"parameters":[30,89,108,133,153],"are":[31,43,101],"binarized":[32],"(i.e.":[33,178],"BNNs),":[34],"two":[36],"most":[37],"frequently":[38],"mentioned":[39],"benefits":[40],"quantization":[42,142],"reduced":[44],"memory":[45,73,111],"consumption":[46],"a":[48,57,121,135,146,181],"faster":[49],"inference":[50,166],"process.":[51],"In":[52,113],"this":[53,116,193,203],"paper,":[54],"we":[55,119],"introduce":[56],"third":[58],"advantage":[59],"very":[61],"networks:":[64],"improved":[65],"fault-tolerance":[66],"attribute.":[67],"We":[68],"investigate":[69],"impact":[71],"faults":[74],"on":[75,173],"state-of-the-art":[76],"binary":[77],"(BNNs)":[80],"through":[81,134],"comprehensive":[82],"analysis.":[83],"Despite":[84],"inclusion":[86],"floating-point":[88,152,190],"BNN":[91,125,176],"architectures":[92],"to":[93,104,123,188],"improve":[94,124],"accuracy,":[95],"our":[96],"findings":[97],"reveal":[98,180],"that":[99],"BNNs":[100],"highly":[102],"sensitive":[103],"deviations":[105],"these":[107],"caused":[109],"by":[110,127,216],"faults.":[112],"light":[114],"crucial":[117],"finding,":[118],"propose":[120],"technique":[122,143],"dependability":[126,222],"restricting":[128],"range":[130],"float":[132],"novel":[136],"deliberately":[137],"uniform":[138],"quantization.":[139],"The":[140,168],"introduced":[141],"results":[144],"reduction":[147],"proportion":[150],"utilized":[154],"BNN,":[157],"without":[158,197,206],"incurring":[159,198],"any":[160,199],"additional":[161],"computational":[162,200,207,218],"overheads":[163],"during":[164],"stage.":[167],"extensive":[169],"experimental":[170],"fault":[171],"simulation":[172],"proposed":[175],"architecture":[177],"ZOBNN)":[179],"remarkable":[182],"5X":[183],"enhancement":[184,204],"robustness":[186],"compared":[187],"conventional":[189],"DNN.":[191],"Notably,":[192],"improvement":[194],"is":[195],"achieved":[196],"overhead.":[201,208],"Crucially,":[202],"comes":[205],"ZOBNN":[209],"excels":[210],"critical":[212],"edge":[213],"applications":[214],"characterized":[215],"limited":[217],"resources,":[219],"prioritizing":[220],"both":[221],"real-time":[224],"performance.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
