{"id":"https://openalex.org/W7162626841","doi":"https://doi.org/10.1109/isqed69900.2026.11534680","title":"Robustness Analysis of Neuromorphic Embodied AI Robot for Associative Learning against Adversarial Stickers","display_name":"Robustness Analysis of Neuromorphic Embodied AI Robot for Associative Learning against Adversarial Stickers","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7162626841","doi":"https://doi.org/10.1109/isqed69900.2026.11534680"},"language":null,"primary_location":{"id":"doi:10.1109/isqed69900.2026.11534680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed69900.2026.11534680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 27th International Symposium on Quality Electronic Design (ISQED)","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/A5000008360","display_name":"Tianze Liu","orcid":"https://orcid.org/0000-0002-2890-8059"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianze Liu","raw_affiliation_strings":["Michigan Technological University,Department of Electrical and Computer Engineering,Houghton,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Technological University,Department of Electrical and Computer Engineering,Houghton,USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082108426","display_name":"Kangjun Bai","orcid":"https://orcid.org/0000-0003-4437-0006"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Jun Bai","raw_affiliation_strings":["Information Directorate,Air Force Research Laboratory,Rome,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Directorate,Air Force Research Laboratory,Rome,NY,USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028297277","display_name":"Hongyu An","orcid":"https://orcid.org/0000-0002-2350-9411"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyu An","raw_affiliation_strings":["Michigan Technological University,Department of Electrical and Computer Engineering,Houghton,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Technological University,Department of Electrical and Computer Engineering,Houghton,USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59072774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.5196999907493591,"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":0.5196999907493591,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.05389999970793724,"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/T11448","display_name":"Face recognition and analysis","score":0.03680000081658363,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/robustness","display_name":"Robustness (evolution)","score":0.6723999977111816},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6421999931335449},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6053000092506409},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.5135999917984009},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.48350000381469727},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4388999938964844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783000230789185},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6723999977111816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6538000106811523},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6053000092506409},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.5135999917984009},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.32440000772476196},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25760000944137573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isqed69900.2026.11534680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed69900.2026.11534680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 27th International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p2-3829","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p2/2769","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49216628074645996}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1827931572","https://openalex.org/W1970792572","https://openalex.org/W1988013646","https://openalex.org/W2008936540","https://openalex.org/W2037030438","https://openalex.org/W2043183159","https://openalex.org/W2052515926","https://openalex.org/W2059584584","https://openalex.org/W2060561757","https://openalex.org/W2080994882","https://openalex.org/W2107852368","https://openalex.org/W2116360511","https://openalex.org/W2147101007","https://openalex.org/W2149775132","https://openalex.org/W2162950292","https://openalex.org/W2165400927","https://openalex.org/W2201923684","https://openalex.org/W2783525259","https://openalex.org/W2798302089","https://openalex.org/W2809892310","https://openalex.org/W2924887213","https://openalex.org/W2954387231","https://openalex.org/W2990793844","https://openalex.org/W3013520104","https://openalex.org/W3129906278","https://openalex.org/W4232220759","https://openalex.org/W4404915630","https://openalex.org/W4411650155"],"related_works":[],"abstract_inverted_index":{"Neuromorphic":[0],"embodied":[1,28,105,173],"Artificial":[2],"Intelligence":[3],"(AI)":[4],"robots":[5],"have":[6],"shown":[7],"the":[8,26,72,89,143,156,171],"capability":[9],"to":[10,125],"perform":[11],"associative":[12,111,187],"learning,":[13],"emulating":[14],"how":[15],"animals":[16],"learn":[17],"through":[18],"interactions":[19],"with":[20,59,102,109,130,176],"their":[21],"environments.":[22],"Through":[23],"such":[24,35,48],"process,":[25],"neuromorphic":[27,82,104,172],"AI":[29,106,174],"robot":[30,83,115,175],"can":[31,54],"memorize":[32],"concurrent":[33],"stimuli,":[34],"as":[36,49,132],"vibrations":[37],"and":[38,57,76,87,138,150,164,184],"visual":[39,50,74,99,128,178],"cues.":[40],"However,":[41],"these":[42],"sensory":[43],"inputs":[44],"often":[45],"contain":[46],"perturbations,":[47],"adversarial":[51,92,159],"stickers,":[52],"that":[53,142,170],"distort":[55],"perception":[56],"interfere":[58],"learned":[60],"associations.":[61],"This":[62],"study":[63],"presents":[64],"a":[65,81,103],"robust":[66],"vision":[67],"processing":[68,100],"framework":[69],"inspired":[70],"by":[71],"animal":[73],"cortex":[75],"system,":[77],"e.g.,":[78],"V1,":[79],"for":[80],"capable":[84],"of":[85,158,162],"detecting":[86],"suppressing":[88],"interference":[90],"from":[91],"stickers.":[93,160],"The":[94,114],"proposed":[95,144],"system":[96,179],"integrates":[97],"this":[98],"module":[101],"robot,":[107],"along":[108],"an":[110,119,133],"learning":[112],"mechanism.":[113],"is":[116],"evaluated":[117],"in":[118,155],"open-field":[120],"maze,":[121],"where":[122],"it":[123],"learns":[124],"associate":[126],"neutral":[127],"landmarks":[129],"vibration":[131],"aversive":[134],"stimulus.":[135],"Both":[136],"simulation":[137],"experimental":[139],"results":[140],"demonstrate":[141,169],"approach":[145],"maintains":[146],"high":[147],"navigation":[148],"accuracy":[149],"stable":[151],"spatial":[152],"memory":[153],"even":[154],"presence":[157],"Analyzes":[161],"trajectories":[163],"neural":[165],"firing":[166],"patterns":[167],"further":[168],"enhanced":[177],"effectively":[180],"resists":[181],"deceptive":[182],"input":[183],"preserves":[185],"accurate":[186],"learning.":[188]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-29T00:00:00"}