{"id":"https://openalex.org/W4404985687","doi":"https://doi.org/10.1109/asp-dac66049.2026.11420436","title":"PrometheusFree: Concurrent Detection of Laser Fault Injection Attacks in Optical Neural Networks","display_name":"PrometheusFree: Concurrent Detection of Laser Fault Injection Attacks in Optical Neural Networks","publication_year":2026,"publication_date":"2026-01-19","ids":{"openalex":"https://openalex.org/W4404985687","doi":"https://doi.org/10.1109/asp-dac66049.2026.11420436"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac66049.2026.11420436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac66049.2026.11420436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC)","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/2411.14741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kota Nishida","orcid":null},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Nishida","raw_affiliation_strings":["The University of Osaka Suita,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Osaka Suita,Japan","institution_ids":["https://openalex.org/I11381156","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021606555","display_name":"Yoshihiro Midoh","orcid":"https://orcid.org/0000-0003-3164-2180"},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Midoh","raw_affiliation_strings":["The University of Osaka Suita,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Osaka Suita,Japan","institution_ids":["https://openalex.org/I11381156","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032938283","display_name":"Noriyuki Miura","orcid":"https://orcid.org/0000-0002-0072-6114"},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyuki Miura","raw_affiliation_strings":["The University of Osaka Suita,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Osaka Suita,Japan","institution_ids":["https://openalex.org/I11381156","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083671933","display_name":"Satoshi Kawakami","orcid":"https://orcid.org/0000-0001-5044-744X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Kawakami","raw_affiliation_strings":["Kyushu University Fukuoka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University Fukuoka,Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alex Orailoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Orailoglu","raw_affiliation_strings":["University of California San Diego La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Shiomi","orcid":null},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Shiomi","raw_affiliation_strings":["The University of Osaka Suita,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Osaka Suita,Japan","institution_ids":["https://openalex.org/I11381156","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1152","last_page":"1159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9692999720573425,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9692999720573425,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9099000096321106,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6210194230079651},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.548971951007843},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5097216963768005},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5047382116317749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48626697063446045},{"id":"https://openalex.org/keywords/fault-injection","display_name":"Fault injection","score":0.47584912180900574},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3417929708957672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3192880153656006},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16940855979919434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1666623055934906},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.15916723012924194},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07217809557914734}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6210194230079651},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.548971951007843},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5097216963768005},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5047382116317749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48626697063446045},{"id":"https://openalex.org/C2775928411","wikidata":"https://www.wikidata.org/wiki/Q2041312","display_name":"Fault injection","level":3,"score":0.47584912180900574},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3417929708957672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3192880153656006},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16940855979919434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1666623055934906},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.15916723012924194},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07217809557914734},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asp-dac66049.2026.11420436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac66049.2026.11420436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.14741","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.14741","pdf_url":"https://arxiv.org/pdf/2411.14741","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27910359","is_oa":true,"landing_page_url":"https://figshare.com/articles/preprint/SecONN_An_Optical_Neural_Network_Framework_with_Concurrent_Detection_of_Thermal_Fault_Injection_Attacks/27910359","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"doi:10.48550/arxiv.2411.14741","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.14741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:2411.14741","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.14741","pdf_url":"https://arxiv.org/pdf/2411.14741","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2604133224","https://openalex.org/W3122756779","https://openalex.org/W4234532445","https://openalex.org/W2062132293","https://openalex.org/W2159677757","https://openalex.org/W3044620288","https://openalex.org/W3025658341","https://openalex.org/W2163720938","https://openalex.org/W2543002644","https://openalex.org/W2372829958"],"abstract_inverted_index":{"Silicon":[0],"Photonics-based":[1],"AI":[2,10],"Accelerators":[3],"(SPAAs)":[4],"have":[5],"been":[6],"considered":[7],"as":[8,170],"promising":[9],"accelerators":[11],"achieving":[12],"high":[13],"energy":[14,26],"efficiency":[15,27],"and":[16,28,52,213],"low":[17],"latency.":[18],"While":[19,38],"many":[20],"researchers":[21],"focus":[22],"on":[23,56,100,184],"improving":[24],"SPAAs\u2019":[25],"latency,":[29],"their":[30,50,57],"physical":[31],"security":[32],"has":[33],"only":[34],"recently":[35],"received":[36],"attention.":[37],"it":[39],"is":[40,78,114],"essential":[41],"to":[42,59,109,153,197],"deliver":[43,60],"strong":[44],"optical":[45,73,106],"neural":[46,74,107],"network":[47,75,108],"inferencing":[48],"approaches,":[49],"success":[51,180,195],"adoption":[53],"are":[54,151],"predicated":[55],"ability":[58],"a":[61,135,200],"secure":[62],"execution":[63],"environment.":[64],"Towards":[65],"this":[66,68,117,132],"end,":[67],"paper":[69,89,118,133],"proposes":[70],"PrometheusFree,":[71],"an":[72,92],"framework":[76],"that":[77,162],"capable":[79,102],"of":[80,83,95,103,125,138,173,209],"concurrent":[81,123,211],"detection":[82,124,157,212,218],"laser":[84,96,127],"fault":[85,97,128,155],"injection":[86,98,129],"attacks.":[87,130],"This":[88],"first":[90],"presents":[91],"illustrative":[93],"threat":[94,112],"attacks":[99],"SPAAs,":[101],"subjecting":[104],"the":[105,126,171,174,178,192,207,210,214,222],"misclassifications.":[110],"The":[111,203],"then":[113],"addressed":[115],"in":[116,216],"by":[119,182,221],"developing":[120],"techniques":[121],"for":[122],"Furthermore,":[131],"introduces":[134],"novel":[136],"application":[137],"Wavelength":[139],"Division":[140],"Perturbation":[141],"(WDP)":[142],"technique":[143,176],"where":[144],"wavelength-dependent":[145],"Vector":[146],"Matrix":[147],"Multiplication":[148],"(VMM)":[149],"results":[150,160,205],"utilized":[152],"boost":[154,215],"attack":[156,179,194,217],"accuracy.":[158],"Simulation":[159],"show":[161],"PrometheusFree":[163,190],"achieves":[164],"over":[165],"96%":[166],"attack-caused":[167],"misprediction":[168],"recall":[169],"use":[172],"WDP":[175,223],"squashes":[177],"rate":[181],"38.6%":[183],"average.":[185],"Compared":[186],"with":[187],"prior":[188],"art,":[189],"limits":[191],"average":[193],"ratio":[196],"0.019,":[198],"yielding":[199],"95.3%":[201],"reduction.":[202],"experimental":[204],"confirm":[206],"superiority":[208],"abilities":[219],"imparted":[220],"approaches.":[224]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2024-12-04T00:00:00"}
