{"id":"https://openalex.org/W4318685290","doi":"https://doi.org/10.1145/3566097.3568355","title":"Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors","display_name":"Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318685290","doi":"https://doi.org/10.1145/3566097.3568355"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3568355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3568355","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"article","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/A5033356396","display_name":"Dongning Ma","orcid":"https://orcid.org/0000-0002-1879-4406"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dongning Ma","raw_affiliation_strings":["Villanova University"],"affiliations":[{"raw_affiliation_string":"Villanova University","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101746837","display_name":"Sizhe Zhang","orcid":"https://orcid.org/0000-0003-4691-9779"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sizhe Zhang","raw_affiliation_strings":["Villanova University"],"affiliations":[{"raw_affiliation_string":"Villanova University","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016146461","display_name":"Xun Jiao","orcid":"https://orcid.org/0000-0003-4476-2501"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Jiao","raw_affiliation_strings":["Villanova University"],"affiliations":[{"raw_affiliation_string":"Villanova University","institution_ids":["https://openalex.org/I7863295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033356396"],"corresponding_institution_ids":["https://openalex.org/I7863295"],"apc_list":null,"apc_paid":null,"fwci":4.0676,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94144661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"598","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T12046","display_name":"MXene and MAX Phase Materials","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8558534979820251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490298748016357},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6800360679626465},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6505312323570251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.538724422454834},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5270816683769226},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5265054106712341},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5148810148239136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46276965737342834},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4448586702346802},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4170050621032715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39029449224472046},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34969431161880493},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3438226580619812},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3392707109451294},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2382957935333252},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11685481667518616}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8558534979820251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490298748016357},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6800360679626465},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6505312323570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538724422454834},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5270816683769226},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5265054106712341},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5148810148239136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46276965737342834},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4448586702346802},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4170050621032715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39029449224472046},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34969431161880493},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3438226580619812},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3392707109451294},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2382957935333252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11685481667518616},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3568355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3568355","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W105804906","https://openalex.org/W2070862086","https://openalex.org/W2583857261","https://openalex.org/W2613567208","https://openalex.org/W2771100829","https://openalex.org/W2791598392","https://openalex.org/W2895774650","https://openalex.org/W2963363970","https://openalex.org/W2974428947","https://openalex.org/W2996362696","https://openalex.org/W3011915968","https://openalex.org/W3036478084","https://openalex.org/W3092127391","https://openalex.org/W3114605448","https://openalex.org/W3129112942","https://openalex.org/W3165244013","https://openalex.org/W3174136778","https://openalex.org/W3180026872","https://openalex.org/W3193529729","https://openalex.org/W3195842288","https://openalex.org/W3200430235","https://openalex.org/W3202939398","https://openalex.org/W3204836041","https://openalex.org/W3212271031","https://openalex.org/W3213820542","https://openalex.org/W3214202924","https://openalex.org/W3214360577","https://openalex.org/W4245199738","https://openalex.org/W4280554038","https://openalex.org/W4280554264","https://openalex.org/W4281552926","https://openalex.org/W4284682915","https://openalex.org/W4285086368","https://openalex.org/W4293261679","https://openalex.org/W4293691716","https://openalex.org/W4301409763","https://openalex.org/W4390996576","https://openalex.org/W6604257673","https://openalex.org/W6606430823","https://openalex.org/W6642099827"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298"],"abstract_inverted_index":{"Hyperdimensional":[0],"Computing":[1],"(HDC),":[2],"also":[3,76],"known":[4],"as":[5,34,61,176],"Vector":[6],"Symbolic":[7],"Architecture":[8],"(VSA),":[9],"is":[10,66,97,126],"an":[11,177],"emerging":[12],"AI":[13,56,178],"algorithm":[14],"inspired":[15],"by":[16],"the":[17,19,52,121,140,148,154,159,170],"way":[18],"human":[20],"brain":[21],"functions.":[22],"Compared":[23],"with":[24],"deep":[25],"neural":[26],"networks":[27],"(DNNs),":[28],"HDC":[29,162,175],"possesses":[30],"several":[31],"advantages":[32],"such":[33,60],"smaller":[35],"model":[36],"size,":[37],"less":[38],"computation":[39],"cost,":[40],"and":[41,63,85,106,166,172,192],"one/few-shot":[42],"learning,":[43],"making":[44],"it":[45,65],"a":[46,113,127],"promising":[47],"alternative":[48],"computing":[49],"paradigm.":[50],"With":[51],"increasing":[53],"deployment":[54],"of":[55,116,123,129,132,142,161,174,200],"in":[57],"safety-critical":[58],"systems":[59],"healthcare":[62],"robotics,":[64],"not":[67],"only":[68],"important":[69],"to":[70,77,99,152,158,189],"strive":[71],"for":[72,194],"high":[73],"accuracy,":[74],"but":[75],"ensure":[78],"its":[79],"robustness":[80,122,160,198],"under":[81],"even":[82],"highly":[83],"uncertain":[84],"adversarial":[86,104],"environments.":[87],"However,":[88],"recent":[89],"studies":[90],"show":[91],"that":[92],"HDC,":[93,124],"just":[94],"like":[95],"DNNs,":[96],"vulnerable":[98],"both":[100],"cyber":[101,164],"attacks":[102,165],"(e.g.,":[103,109],"attacks)":[105],"hardware":[107,167],"errors":[108],"memory":[110],"failures).":[111],"While":[112,169],"growing":[114],"body":[115],"research":[117,133,155,199],"has":[118],"been":[119],"studying":[120],"there":[125],"lack":[128],"systematic":[130],"review":[131,153],"efforts":[134,156,196],"on":[135,197],"this":[136,145,185],"increasingly-important":[137],"topic.":[138],"To":[139],"best":[141],"our":[143],"knowledge,":[144],"paper":[146,187],"presents":[147],"first":[149],"survey":[150,186],"dedicated":[151],"made":[157],"against":[163],"errors.":[168],"performance":[171],"accuracy":[173],"method":[179],"still":[180],"expects":[181],"future":[182],"theoretical":[183],"advancement,":[184],"aims":[188],"shed":[190],"light":[191],"call":[193],"community":[195],"HDC.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}