{"id":"https://openalex.org/W4415003522","doi":"https://doi.org/10.1109/mlcad65511.2025.11189140","title":"Privacy-Preserving Data and Model Sharing for EDA via Inference Control and DP-SGD","display_name":"Privacy-Preserving Data and Model Sharing for EDA via Inference Control and DP-SGD","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4415003522","doi":"https://doi.org/10.1109/mlcad65511.2025.11189140"},"language":"en","primary_location":{"id":"doi:10.1109/mlcad65511.2025.11189140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad65511.2025.11189140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 ACM/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)","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/A5101132087","display_name":"Ziyu Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziyu Deng","raw_affiliation_strings":["North Carolina State University,Raleigh,NC,USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Raleigh,NC,USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078910758","display_name":"Rada Chirkova","orcid":"https://orcid.org/0000-0003-4249-9690"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rada Chirkova","raw_affiliation_strings":["North Carolina State University,Raleigh,NC,USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Raleigh,NC,USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119925030","display_name":"Leigh Anne Clevenger","orcid":null},"institutions":[{"id":"https://openalex.org/I93085520","display_name":"Silicon Labs (United States)","ror":"https://ror.org/02dyqfb80","country_code":"US","type":"company","lineage":["https://openalex.org/I93085520"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leigh Anne Clevenger","raw_affiliation_strings":["Silicon Integration Initiative, Inc. (Si2)"],"affiliations":[{"raw_affiliation_string":"Silicon Integration Initiative, Inc. (Si2)","institution_ids":["https://openalex.org/I93085520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000597593","display_name":"W. Rhett Davis","orcid":"https://orcid.org/0000-0002-9338-1441"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Rhett Davis","raw_affiliation_strings":["North Carolina State University,Raleigh,NC,USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Raleigh,NC,USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101132087"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14498886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9876000285148621,"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":0.9876000285148621,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9222000241279602,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/inference","display_name":"Inference","score":0.6155999898910522},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5928999781608582},{"id":"https://openalex.org/keywords/soundness","display_name":"Soundness","score":0.5515999794006348},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.438400000333786},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4383000135421753},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4253000020980835},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4230000078678131},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.42160001397132874},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.4065999984741211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443000078201294},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6155999898910522},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5928999781608582},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49480000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4616999924182892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.4065999984741211},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.3163999915122986},{"id":"https://openalex.org/C3087436","wikidata":"https://www.wikidata.org/wiki/Q1386603","display_name":"Secret sharing","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2721000015735626},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlcad65511.2025.11189140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad65511.2025.11189140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 ACM/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1978226299","https://openalex.org/W2043643711","https://openalex.org/W2159024459","https://openalex.org/W2333603443","https://openalex.org/W2473418344","https://openalex.org/W2741083724","https://openalex.org/W2911978475","https://openalex.org/W3200304815","https://openalex.org/W4205228770"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,4,10,28],"semiconductor":[2],"field,":[3],"lack":[5],"of":[6,12,32,130],"cutting-edge":[7],"datasets":[8,24],"hinders":[9],"advancement":[11],"machine":[13],"learning":[14,80],"(ML)":[15],"applications":[16],"in":[17,35,64,117],"electronic":[18],"design":[19],"automation":[20],"(EDA).":[21],"While":[22],"real-world":[23],"could":[25],"significantly":[26],"improve":[27],"soundness":[29],"and":[30,48,61,77,114,123,132],"impact":[31],"model":[33,62,92,115],"development":[34],"academic":[36],"research,":[37],"industry":[38],"remains":[39],"reluctant":[40],"to":[41,45,73,90],"share":[42],"data":[43,60],"due":[44],"security,":[46],"competitive,":[47],"regulatory":[49],"concerns.":[50],"This":[51],"paper":[52],"proposes":[53],"two":[54],"privacy-preserving":[55],"scenarios":[56],"for":[57],"enabling":[58],"secure":[59,131],"sharing":[63,93],"EDA:":[65],"a":[66,78,109,128],"feature":[67],"obfuscation":[68],"method":[69],"based":[70],"on":[71],"k-anonymity":[72],"prevent":[74],"inference":[75],"attacks,":[76],"transfer":[79,135],"approach":[81],"combined":[82],"with":[83,94],"differentially":[84],"private":[85],"stochastic":[86],"gradient":[87],"descent":[88],"(DP-SGD)":[89],"support":[91],"quantifiable":[95],"privacy":[96,113],"guarantees.":[97],"Through":[98],"simulated":[99],"industrial-academic":[100],"collaboration":[101],"experiments,":[102],"we":[103],"demonstrate":[104],"that":[105],"both":[106],"approaches":[107],"achieve":[108],"favorable":[110],"trade-off":[111],"between":[112],"utility":[116],"tasks":[118],"such":[119],"as":[120],"congestion":[121],"prediction":[122],"Power-Performance-Area(PPA)":[124],"prediction,":[125],"thereby":[126],"providing":[127],"possibility":[129],"practical":[133],"knowledge":[134],"across":[136],"organizational":[137],"boundaries.":[138]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}