{"id":"https://openalex.org/W4414769905","doi":"https://doi.org/10.5220/0014218600004052","title":"Anomaly Detection with Quantum SVR in the NISQ Era: Limits of Robustness to Noise and Adversarial Attacks","display_name":"Anomaly Detection with Quantum SVR in the NISQ Era: Limits of Robustness to Noise and Adversarial Attacks","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4414769905","doi":"https://doi.org/10.5220/0014218600004052"},"language":"en","primary_location":{"id":"doi:10.5220/0014218600004052","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0014218600004052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.01012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092838148","display_name":"Kilian Tscharke","orcid":"https://orcid.org/0009-0006-7423-2498"},"institutions":[{"id":"https://openalex.org/I4210136922","display_name":"Fraunhofer Institute for Applied and Integrated Security","ror":"https://ror.org/03w0bbr97","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210136922","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kilian Tscharke","raw_affiliation_strings":["Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany","institution_ids":["https://openalex.org/I4210136922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095912614","display_name":"Maximilian Wendlinger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136922","display_name":"Fraunhofer Institute for Applied and Integrated Security","ror":"https://ror.org/03w0bbr97","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210136922","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Wendlinger","raw_affiliation_strings":["Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany","institution_ids":["https://openalex.org/I4210136922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092838149","display_name":"Sebastian Issel","orcid":"https://orcid.org/0009-0002-3873-1979"},"institutions":[{"id":"https://openalex.org/I4210136922","display_name":"Fraunhofer Institute for Applied and Integrated Security","ror":"https://ror.org/03w0bbr97","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210136922","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Issel","raw_affiliation_strings":["Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany","institution_ids":["https://openalex.org/I4210136922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019000265","display_name":"Pascal Debus","orcid":"https://orcid.org/0009-0007-2437-2764"},"institutions":[{"id":"https://openalex.org/I4210136922","display_name":"Fraunhofer Institute for Applied and Integrated Security","ror":"https://ror.org/03w0bbr97","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210136922","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pascal Debus","raw_affiliation_strings":["Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Applied and Integrated Security (AISEC), Garching near Munich, Germany","institution_ids":["https://openalex.org/I4210136922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136922"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00453858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1114","last_page":"1125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7664999961853027},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.583299994468689},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5622000098228455},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49470001459121704},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4844000041484833},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.46070000529289246},{"id":"https://openalex.org/keywords/quantum-noise","display_name":"Quantum noise","score":0.4406000077724457},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.39750000834465027}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7664999961853027},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.583299994468689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5819000005722046},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49470001459121704},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45579999685287476},{"id":"https://openalex.org/C111996192","wikidata":"https://www.wikidata.org/wiki/Q7269075","display_name":"Quantum noise","level":3,"score":0.4406000077724457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41200000047683716},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.39750000834465027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3837999999523163},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3391000032424927},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.29429998993873596},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C80891386","wikidata":"https://www.wikidata.org/wiki/Q7269084","display_name":"Quantum phases","level":4,"score":0.28130000829696655},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26759999990463257},{"id":"https://openalex.org/C5320026","wikidata":"https://www.wikidata.org/wiki/Q2122216","display_name":"Quantum information science","level":4,"score":0.26260000467300415},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5220/0014218600004052","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0014218600004052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.01012","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2505.01012","pdf_url":"https://arxiv.org/pdf/2505.01012","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/516276","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/516276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"doi:10.48550/arxiv.2505.01012","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.01012","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.01012","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2505.01012","pdf_url":"https://arxiv.org/pdf/2505.01012","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414769905.pdf","grobid_xml":"https://content.openalex.org/works/W4414769905.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Anomaly":[0],"Detection":[1],"(AD)":[2],"is":[3,150],"critical":[4],"in":[5,94],"data":[6],"analysis,":[7],"particularly":[8],"within":[9],"the":[10,20,34,79,90,95,102,105,111,139,164],"domain":[11,140],"of":[12,22,84,92,104,141],"IT":[13],"security.":[14],"In":[15],"this":[16],"study,":[17],"we":[18,88,137],"explore":[19,138],"potential":[21],"Quantum":[23,47,142],"Machine":[24,144],"Learning":[25,145],"for":[26,52],"application":[27],"to":[28,36,115,132,153],"AD":[29,54],"with":[30,156],"special":[31],"focus":[32],"on":[33,46,60,82,101],"robustness":[35,114,166],"noise":[37,100,130,159],"and":[38,76,121,128],"adversarial":[39,154,161],"attacks.":[40,169],"We":[41],"build":[42],"upon":[43],"previous":[44],"work":[45],"Support":[48],"Vector":[49],"Regression":[50],"(QSVR)":[51],"semisupervised":[53],"by":[55,146],"conducting":[56],"a":[57],"comprehensive":[58],"benchmark":[59],"IBM":[61],"quantum":[62,99,158],"hardware":[63],"using":[64],"eleven":[65],"datasets.":[66,86],"Our":[67,107],"results":[68],"demonstrate":[69],"that":[70,110,148],"QSVR":[71,149],"achieves":[72],"strong":[73],"classification":[74],"performance":[75,103],"even":[77],"outperforms":[78],"noiseless":[80],"simulation":[81],"two":[83],"these":[85],"Moreover,":[87],"investigate":[89],"influence":[91],"-":[93,98],"NISQ-era":[96],"inevitable":[97],"QSVR.":[106],"findings":[108],"reveal":[109],"model":[112],"exhibits":[113],"depolarizing,":[116],"phase":[117,119],"damping,":[118],"flip,":[120],"bit":[122],"flip":[123],"noise,":[124],"while":[125],"amplitude":[126],"damping":[127],"miscalibration":[129],"prove":[131],"be":[133],"more":[134],"disruptive.":[135],"Finally,":[136],"Adversarial":[143],"demonstrating":[147],"highly":[151],"vulnerable":[152],"attacks,":[155],"neither":[157],"nor":[160],"training":[162],"improving":[163],"model's":[165],"against":[167],"such":[168]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-03T00:00:00"}