METHOD FOR EXTRACTING ARTIFICIAL NEURAL NETWORK BY USING MELTDOWN VULNERABILITY
An artificial neural network extraction method is disclosed. The artificial neural network extraction method is performed by a computing device which can communicate with a server for providing Machine-Learning-as-a-Service (MLaaS) and which includes at least a processor, the method comprising the s...
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| creator | JEONG, Hoyong RYU, Do-Hyun HUR, Junbeom |
| description | An artificial neural network extraction method is disclosed. The artificial neural network extraction method is performed by a computing device which can communicate with a server for providing Machine-Learning-as-a-Service (MLaaS) and which includes at least a processor, the method comprising the steps of: acquiring a page table of a process to be attacked; acquiring, on the basis of the page table, heap area data of the process to be attacked; acquiring, on the basis of the heap area data, an artificial neural network instance of the process to be attacked; and extracting a structure of an artificial neural network model on the basis of the artificial neural network instance. |
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The artificial neural network extraction method is performed by a computing device which can communicate with a server for providing Machine-Learning-as-a-Service (MLaaS) and which includes at least a processor, the method comprising the steps of: acquiring a page table of a process to be attacked; acquiring, on the basis of the page table, heap area data of the process to be attacked; acquiring, on the basis of the heap area data, an artificial neural network instance of the process to be attacked; and extracting a structure of an artificial neural network model on the basis of the artificial neural network instance.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240704&DB=EPODOC&CC=US&NR=2024220627A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240704&DB=EPODOC&CC=US&NR=2024220627A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JEONG, Hoyong</creatorcontrib><creatorcontrib>RYU, Do-Hyun</creatorcontrib><creatorcontrib>HUR, Junbeom</creatorcontrib><title>METHOD FOR EXTRACTING ARTIFICIAL NEURAL NETWORK BY USING MELTDOWN VULNERABILITY</title><description>An artificial neural network extraction method is disclosed. The artificial neural network extraction method is performed by a computing device which can communicate with a server for providing Machine-Learning-as-a-Service (MLaaS) and which includes at least a processor, the method comprising the steps of: acquiring a page table of a process to be attacked; acquiring, on the basis of the page table, heap area data of the process to be attacked; acquiring, on the basis of the heap area data, an artificial neural network instance of the process to be attacked; and extracting a structure of an artificial neural network model on the basis of the artificial neural network instance.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD3dQ3x8HdRcPMPUnCNCAlydA7x9HNXcAwK8XTzdPZ09FHwcw0NAlMh4f5B3gpOkQqhwSAlvq4-IS7-4X4KYaE-fq5Bjk6ePp4hkTwMrGmJOcWpvFCam0HZzTXE2UM3tSA_PrW4IDE5NS-1JD402MjAyMTIyMDMyNzR0Jg4VQAxLDAf</recordid><startdate>20240704</startdate><enddate>20240704</enddate><creator>JEONG, Hoyong</creator><creator>RYU, Do-Hyun</creator><creator>HUR, Junbeom</creator><scope>EVB</scope></search><sort><creationdate>20240704</creationdate><title>METHOD FOR EXTRACTING ARTIFICIAL NEURAL NETWORK BY USING MELTDOWN VULNERABILITY</title><author>JEONG, Hoyong ; RYU, Do-Hyun ; HUR, Junbeom</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024220627A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>JEONG, Hoyong</creatorcontrib><creatorcontrib>RYU, Do-Hyun</creatorcontrib><creatorcontrib>HUR, Junbeom</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JEONG, Hoyong</au><au>RYU, Do-Hyun</au><au>HUR, Junbeom</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD FOR EXTRACTING ARTIFICIAL NEURAL NETWORK BY USING MELTDOWN VULNERABILITY</title><date>2024-07-04</date><risdate>2024</risdate><abstract>An artificial neural network extraction method is disclosed. 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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | METHOD FOR EXTRACTING ARTIFICIAL NEURAL NETWORK BY USING MELTDOWN VULNERABILITY |
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