{"id":"https://openalex.org/W4401416645","doi":"https://doi.org/10.1109/icra57147.2024.10610832","title":"Privacy Risks in Reinforcement Learning for Household Robots","display_name":"Privacy Risks in Reinforcement Learning for Household Robots","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401416645","doi":"https://doi.org/10.1109/icra57147.2024.10610832"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610832","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100339704","display_name":"Miao Li","orcid":"https://orcid.org/0000-0002-2244-2104"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Li","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,PA,USA,15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058280572","display_name":"Wenhao Ding","orcid":"https://orcid.org/0000-0003-3218-8792"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Ding","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,PA,USA,15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037644321","display_name":"Ding Zhao","orcid":"https://orcid.org/0000-0002-9400-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding Zhao","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,PA,USA,15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5148","last_page":"5154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.980400025844574,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.980400025844574,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8000460863113403},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6900320053100586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896990537643433},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4667853116989136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3930776119232178},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3692706525325775},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33703601360321045},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13058686256408691}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8000460863113403},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6900320053100586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896990537643433},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4667853116989136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3930776119232178},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3692706525325775},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33703601360321045},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13058686256408691},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610832","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra57147.2024.10610832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2103559027","https://openalex.org/W2116612304","https://openalex.org/W2133665775","https://openalex.org/W2145339207","https://openalex.org/W2153771494","https://openalex.org/W2350778671","https://openalex.org/W2530417694","https://openalex.org/W2535690855","https://openalex.org/W2591882872","https://openalex.org/W2593769898","https://openalex.org/W2898422183","https://openalex.org/W2963819344","https://openalex.org/W2964162474","https://openalex.org/W2970356364","https://openalex.org/W2970408908","https://openalex.org/W3000479830","https://openalex.org/W3034957837","https://openalex.org/W3123459983","https://openalex.org/W3132138018","https://openalex.org/W3175192640","https://openalex.org/W3212378239","https://openalex.org/W3214142560","https://openalex.org/W4206199121","https://openalex.org/W4207072548","https://openalex.org/W4224035735","https://openalex.org/W4226117300","https://openalex.org/W4226278401","https://openalex.org/W4241811150","https://openalex.org/W4287822453","https://openalex.org/W4293566037","https://openalex.org/W4298201312","https://openalex.org/W4299283926","https://openalex.org/W4312291425","https://openalex.org/W4312705808","https://openalex.org/W4323706305","https://openalex.org/W4327873626","https://openalex.org/W4383108839","https://openalex.org/W4385473486","https://openalex.org/W6728757088","https://openalex.org/W6755681954","https://openalex.org/W6761704562","https://openalex.org/W6764838729","https://openalex.org/W6767300576","https://openalex.org/W6775563089","https://openalex.org/W6781089347","https://openalex.org/W6787335730","https://openalex.org/W6802757742","https://openalex.org/W6803316053","https://openalex.org/W6803930324","https://openalex.org/W6810738896","https://openalex.org/W6843392272"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"The":[0,108,183],"prominence":[1],"of":[2,43,56,90,110,189],"embodied":[3,44,60,181],"Artificial":[4],"Intelligence":[5],"(AI),":[6],"which":[7],"empowers":[8],"robots":[9],"to":[10,23,78,101,136,145,154],"navigate,":[11],"perceive,":[12],"and":[13,30,94,105,170],"engage":[14],"within":[15,40],"virtual":[16],"environments,":[17],"has":[18,68],"attracted":[19],"significant":[20],"attention,":[21],"owing":[22],"the":[24,41,47,54,87,91,95,114,119,143,167,187,198],"remarkable":[25],"advances":[26],"in":[27,59,73,180,192,200],"computer":[28],"vision":[29],"large":[31],"language":[32],"models.":[33],"Privacy":[34],"emerges":[35],"as":[36,46],"a":[37,177],"pivotal":[38],"concern":[39],"realm":[42],"AI,":[45],"robot":[48],"accesses":[49],"substantial":[50],"personal":[51],"information.":[52],"However,":[53],"issue":[55],"privacy":[57],"leakage":[58],"AI":[61],"tasks,":[62],"particularly":[63],"concerning":[64],"reinforcement":[65],"learning":[66,125],"algorithms,":[67],"not":[69],"received":[70],"adequate":[71],"consideration":[72],"research.":[74],"This":[75],"paper":[76],"aims":[77],"address":[79],"this":[80],"gap":[81],"by":[82,118],"proposing":[83],"an":[84],"attack":[85,115],"on":[86,132,166,174],"training":[88],"process":[89],"value-based":[92],"algorithm":[93,173],"gradient-based":[96],"algorithm,":[97],"utilizing":[98],"gradient":[99],"inversion":[100],"reconstruct":[102],"states,":[103],"actions,":[104],"supervisory":[106],"signals.":[107],"choice":[109],"using":[111],"gradients":[112,129,150],"for":[113,207],"is":[116],"motivated":[117],"fact":[120],"that":[121],"commonly":[122],"employed":[123],"federated":[124],"techniques":[126],"solely":[127],"utilize":[128],"computed":[130],"based":[131],"private":[133,157],"user":[134],"data":[135,144,199],"optimize":[137],"models,":[138],"without":[139],"storing":[140],"or":[141],"transmitting":[142],"public":[146],"servers.":[147],"Nevertheless,":[148],"these":[149],"contain":[151],"sufficient":[152],"information":[153,196],"potentially":[155],"expose":[156],"data.":[158],"To":[159],"validate":[160],"our":[161,172,190,205],"approach,":[162],"we":[163],"conducted":[164],"experiments":[165],"AI2THOR":[168],"simulator":[169],"evaluated":[171],"active":[175],"perception,":[176],"prevalent":[178],"task":[179],"AI.":[182],"experimental":[184],"results":[185],"demonstrate":[186],"effectiveness":[188],"method":[191],"successfully":[193],"reconstructing":[194],"all":[195],"from":[197],"120":[201],"room":[202],"layouts.":[203],"Check":[204],"website":[206],"videos.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
