{"id":"https://openalex.org/W4387993742","doi":"https://doi.org/10.1145/3623652.3623672","title":"Triton: Software-Defined Threat Model for Secure Multi-Tenant ML Inference Accelerators","display_name":"Triton: Software-Defined Threat Model for Secure Multi-Tenant ML Inference Accelerators","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387993742","doi":"https://doi.org/10.1145/3623652.3623672"},"language":"en","primary_location":{"id":"doi:10.1145/3623652.3623672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3623652.3623672","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3623652.3623672","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Workshop on Hardware and Architectural Support for Security and Privacy","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3623652.3623672","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032763421","display_name":"Sarbartha Banerjee","orcid":"https://orcid.org/0009-0006-9704-932X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarbartha Banerjee","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":"https://orcid.org/0009-0006-9704-932X","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052466712","display_name":"Shijia Wei","orcid":"https://orcid.org/0000-0002-4513-5334"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijia Wei","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":"https://orcid.org/0000-0002-4513-5334","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057505004","display_name":"Prakash Ramrakhyani","orcid":"https://orcid.org/0009-0001-0774-1501"},"institutions":[{"id":"https://openalex.org/I4210156213","display_name":"American Rock Mechanics Association","ror":"https://ror.org/05vfrxy92","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash Ramrakhyani","raw_affiliation_strings":["ARM Research"],"raw_orcid":"https://orcid.org/0009-0001-0774-1501","affiliations":[{"raw_affiliation_string":"ARM Research","institution_ids":["https://openalex.org/I4210156213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030798048","display_name":"Mohit Tiwari","orcid":"https://orcid.org/0000-0002-0384-3308"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Tiwari","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":"https://orcid.org/0000-0002-0384-3308","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980000257492065,"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":0.9980000257492065,"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/T11424","display_name":"Security and Verification in Computing","score":0.9965999722480774,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78272944688797},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.676659345626831},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6726580858230591},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6447340250015259},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.6231114864349365},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.5135335922241211},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4726350009441376},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4534088671207428},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.41498589515686035},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3998796343803406},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34279751777648926},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.329037070274353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24970820546150208},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23682895302772522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78272944688797},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.676659345626831},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6726580858230591},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6447340250015259},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.6231114864349365},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.5135335922241211},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4726350009441376},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4534088671207428},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.41498589515686035},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3998796343803406},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34279751777648926},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.329037070274353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24970820546150208},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23682895302772522},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3623652.3623672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3623652.3623672","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3623652.3623672","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Workshop on Hardware and Architectural Support for Security and Privacy","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3623652.3623672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3623652.3623672","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3623652.3623672","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Workshop on Hardware and Architectural Support for Security and Privacy","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387993742.pdf","grobid_xml":"https://content.openalex.org/works/W4387993742.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1922655562","https://openalex.org/W2034861439","https://openalex.org/W2285660444","https://openalex.org/W2302255633","https://openalex.org/W2519974261","https://openalex.org/W2606722458","https://openalex.org/W2613516056","https://openalex.org/W2613970414","https://openalex.org/W2618530766","https://openalex.org/W2622148586","https://openalex.org/W2701059868","https://openalex.org/W2784823820","https://openalex.org/W2809523935","https://openalex.org/W2868091835","https://openalex.org/W2947737663","https://openalex.org/W2963247769","https://openalex.org/W2963460174","https://openalex.org/W2979547870","https://openalex.org/W3011594683","https://openalex.org/W3015584356","https://openalex.org/W3016939927","https://openalex.org/W3017521908","https://openalex.org/W3043406639","https://openalex.org/W3096785379","https://openalex.org/W3097528158","https://openalex.org/W3101026687","https://openalex.org/W3204171527","https://openalex.org/W3205334056","https://openalex.org/W3207691711","https://openalex.org/W3209210773","https://openalex.org/W3213975728","https://openalex.org/W4214482727","https://openalex.org/W4214757266","https://openalex.org/W4255421341","https://openalex.org/W4280622459","https://openalex.org/W4281654458","https://openalex.org/W4292779060","https://openalex.org/W4293024088","https://openalex.org/W4385245566","https://openalex.org/W6607658636","https://openalex.org/W6758292799","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2140069467","https://openalex.org/W2364072231"],"abstract_inverted_index":{"Secure":[0],"machine-learning":[1],"inference":[2],"is":[3,96],"essential":[4],"with":[5],"the":[6,18,69,90,100],"advent":[7],"of":[8,20,93],"multi-tenancy":[9],"in":[10,39,68,86],"machine":[11],"learning-as-a-service":[12],"(MLaaS)":[13],"accelerators.":[14],"Model":[15],"owners":[16],"demand":[17],"confidentiality":[19,61],"both":[21],"model":[22],"weights":[23],"and":[24,62],"architecture,":[25],"while":[26],"end":[27],"users":[28],"want":[29],"to":[30,78,99],"protect":[31],"their":[32],"personal":[33],"data.":[34],"Moreover,":[35],"ML":[36,72],"models":[37],"used":[38],"mission-critical":[40],"applications":[41],"like":[42],"autonomous":[43],"vehicles":[44],"or":[45],"disease":[46],"classification":[47],"need":[48],"integrity":[49],"protection.":[50],"While":[51],"hardware":[52],"trusted":[53],"execution":[54],"environments":[55],"(TEE)":[56],"[4,":[57],"41]":[58],"provide":[59],"data":[60,102],"integrity,":[63],"they":[64],"face":[65],"two":[66],"challenges":[67],"adoption":[70],"for":[71,107],"inference.":[73,110],"First,":[74],"TEEs":[75,95],"are":[76],"susceptible":[77],"numerous":[79],"side":[80],"channels,":[81],"arising":[82],"from":[83],"resource":[84],"sharing":[85],"multi-tenant":[87],"systems.":[88],"Second,":[89],"performance":[91],"overhead":[92],"these":[94],"often":[97],"proportional":[98],"secret":[101],"size,":[103],"making":[104],"them":[105],"unattractive":[106],"data-intensive":[108],"real-time":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}