{"id":"https://openalex.org/W2021950131","doi":"https://doi.org/10.1145/2744769.2747915","title":"Cloning your mind","display_name":"Cloning your mind","publication_year":2015,"publication_date":"2015-06-02","ids":{"openalex":"https://openalex.org/W2021950131","doi":"https://doi.org/10.1145/2744769.2747915","mag":"2021950131"},"language":"en","primary_location":{"id":"doi:10.1145/2744769.2747915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2747915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"},"type":"article","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/A5000748332","display_name":"Beiye Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Beiye Liu","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048629905","display_name":"Chunpeng Wu","orcid":"https://orcid.org/0000-0002-3970-8570"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunpeng Wu","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429403","display_name":"Hai Li","orcid":"https://orcid.org/0000-0003-3228-6544"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101676852","display_name":"Qing Wu","orcid":"https://orcid.org/0000-0001-7248-9755"},"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":"Qing Wu","raw_affiliation_strings":["Air Force Research Laboratory, Rome, NY","Air Force Research Laboratory , Rome, NY 13441-4505, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Rome, NY","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory , Rome, NY 13441-4505, USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058472633","display_name":"Mark Barnell","orcid":"https://orcid.org/0000-0002-9865-6723"},"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":"Mark Barnell","raw_affiliation_strings":["Air Force Research Laboratory, Rome, NY","Air Force Research Laboratory , Rome, NY 13441-4505, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Rome, NY","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory , Rome, NY 13441-4505, USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018468480","display_name":"Qinru Qiu","orcid":"https://orcid.org/0000-0003-2546-0655"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinru Qiu","raw_affiliation_strings":["Syracuse University, Syracuse, NY","[Syracuse University, NY 13244, USA]"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"[Syracuse University, NY 13244, USA]","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5000748332"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.7488,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79030405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.992900013923645,"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"}},"topics":[{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8031108975410461},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6447569131851196},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5747427940368652},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5239962339401245},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5214728116989136},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5028040409088135},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49410274624824524},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4514804780483246},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.41555488109588623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2520374655723572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18205827474594116},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12221115827560425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031108975410461},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6447569131851196},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5747427940368652},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5239962339401245},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5214728116989136},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5028040409088135},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49410274624824524},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4514804780483246},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.41555488109588623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2520374655723572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18205827474594116},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12221115827560425},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2744769.2747915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2747915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1682219457","display_name":null,"funder_award_id":"FA8750-15-2-0048","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G8240910671","display_name":null,"funder_award_id":"Innovation Research Program","funder_id":"https://openalex.org/F4320332518","funder_display_name":"HP Labs"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332518","display_name":"HP Labs","ror":"https://ror.org/059rn9488"},{"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":13,"referenced_works":["https://openalex.org/W4952878","https://openalex.org/W133884053","https://openalex.org/W1506806321","https://openalex.org/W1554944419","https://openalex.org/W1570592190","https://openalex.org/W1663973292","https://openalex.org/W1667387340","https://openalex.org/W1826232489","https://openalex.org/W2003240725","https://openalex.org/W2014226385","https://openalex.org/W2122410182","https://openalex.org/W2144149612","https://openalex.org/W6638658418"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2091483479"],"abstract_inverted_index":{"With":[0],"the":[1,39,78,83,96,99,102,110,115,125,140,152],"booming":[2],"of":[3,101,109,127,145,151],"big-data":[4],"applications,":[5,41],"cognitive":[6,66,146],"information":[7,141],"processing":[8,14,34,91],"systems":[9,147],"that":[10,137],"leverage":[11],"advanced":[12],"data":[13,20,90,112],"technologies,":[15],"e.g.,":[16],"machine":[17],"learning":[18,52],"and":[19,36,44,104,143],"mining,":[21],"are":[22,47,72],"widely":[23],"used":[24,74],"in":[25,38,65],"many":[26],"industry":[27],"fields.":[28],"Although":[29],"these":[30,51,128],"technologies":[31],"demonstrate":[32,76],"great":[33],"capability":[35],"accuracy":[37],"relevant":[40],"several":[42,62,134],"security":[43,63,129,144],"safety":[45],"challenges":[46],"also":[48,132],"emerging":[49],"against":[50],"based":[53],"technologies.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,131],"will":[59],"first":[60],"introduce":[61],"concerns":[64],"system":[67],"designs.":[68],"Some":[69],"real":[70],"examples":[71],"then":[73],"to":[75,98,119],"how":[77],"attackers":[79],"can":[80,138],"potentially":[81],"access":[82,97],"confidential":[84],"user":[85],"data,":[86],"replicate":[87],"a":[88,120],"sensitive":[89],"model":[92],"without":[93],"being":[94],"granted":[95],"details":[100],"model,":[103],"obtain":[105],"some":[106],"key":[107],"features":[108],"training":[111],"by":[113],"using":[114],"services":[116],"publically":[117],"accessible":[118],"normal":[121],"user.":[122],"Based":[123],"on":[124],"analysis":[126],"challenges,":[130],"discuss":[133],"possible":[135],"solutions":[136],"protect":[139],"privacy":[142],"during":[148],"different":[149],"stages":[150],"usage.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2016-06-24T00:00:00"}
