{"id":"https://openalex.org/W4415707695","doi":"https://doi.org/10.1109/icme59968.2025.11210209","title":"Efficient Binarized Neural Network Intellectual Property Protection","display_name":"Efficient Binarized Neural Network Intellectual Property Protection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707695","doi":"https://doi.org/10.1109/icme59968.2025.11210209"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100675177","display_name":"Bowen Chen","orcid":"https://orcid.org/0000-0003-3877-3837"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Chen","raw_affiliation_strings":["National University of Defense Technology,School of Electronic Science and Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,School of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747424","display_name":"Jiehua Zhang","orcid":"https://orcid.org/0000-0003-4342-0139"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jiehua Zhang","raw_affiliation_strings":["University of Oulu,Center for Machine Vision and Signal Analysis,Oulu,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu,Center for Machine Vision and Signal Analysis,Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039567650","display_name":"Yuchen Sun","orcid":"https://orcid.org/0000-0001-7482-1651"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Sun","raw_affiliation_strings":["National University of Defense Technology,National Key Laboratory of Information Systems Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,National Key Laboratory of Information Systems Engineering,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["National University of Defense Technology,School of Electronic Science and Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,School of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9115999937057495,"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":0.9115999937057495,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.04699999839067459,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.019200000911951065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7642999887466431},{"id":"https://openalex.org/keywords/intellectual-property","display_name":"Intellectual property","score":0.7408000230789185},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5925999879837036},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.5763999819755554},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4537999927997589},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4108000099658966},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.3917999863624573}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7642999887466431},{"id":"https://openalex.org/C34974158","wikidata":"https://www.wikidata.org/wiki/Q131257","display_name":"Intellectual property","level":2,"score":0.7408000230789185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514000296592712},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5925999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5866000056266785},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.5763999819755554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.32910001277923584},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2300242332","https://openalex.org/W2579318729","https://openalex.org/W2887447938","https://openalex.org/W2952608669","https://openalex.org/W2963643655","https://openalex.org/W3104151879","https://openalex.org/W3173775589","https://openalex.org/W3207598347","https://openalex.org/W4214888034","https://openalex.org/W4288057808","https://openalex.org/W4362714395","https://openalex.org/W4390874203","https://openalex.org/W4402727564"],"related_works":[],"abstract_inverted_index":{"Binary":[0],"Neural":[1],"Networks":[2],"(BNNs)":[3],"quantize":[4],"weights":[5,103,145],"and":[6,10,17,27,94,104,140,169],"activations":[7,105],"to":[8,12,48,114,135,143,180],"\u22121":[9],"+1":[11],"achieve":[13],"significant":[14,116],"memory":[15],"reduction":[16],"computational":[18],"acceleration,":[19],"which":[20],"have":[21],"been":[22],"extensively":[23],"explored":[24],"in":[25,108,119],"image":[26],"video":[28],"tasks.":[29],"The":[30],"development":[31],"for":[32,64,75,90,133,187],"training":[33,111],"high-accuracy":[34],"BNNs":[35,134,157],"holds":[36],"substantial":[37],"commercial":[38],"value,":[39],"underscoring":[40],"the":[41,100,109,120,154,181],"critical":[42],"importance":[43],"of":[44,78,102,153,156,184],"emphasizing":[45],"risks":[46],"related":[47],"intellectual":[49],"property":[50],"(IP)":[51],"infringement.":[52],"However,":[53],"existing":[54],"IP":[55,76,185],"protection":[56,63,77,186],"methods":[57],"focus":[58],"on":[59],"float-point":[60],"models,":[61],"neglecting":[62],"low-bit":[65,188],"models.":[66],"To":[67,123],"this":[68,125],"end,":[69],"we":[70,127,148],"provide":[71],"a":[72,82,115,129,150],"study":[73],"tailored":[74],"BNNs.":[79,191],"We":[80,97,173],"adopt":[81],"passport-based":[83],"watermarking":[84],"method":[85,165],"as":[86],"our":[87,164,176],"baseline,":[88],"known":[89],"resisting":[91],"both":[92],"removal":[93],"ambiguity":[95],"attacks.":[96,160,172],"observe":[98],"that":[99,175],"discretization":[101],"introduces":[106],"instability":[107],"joint":[110],"stage,":[112],"leading":[113],"accuracy":[117],"decrease":[118],"target":[121],"model.":[122],"overcome":[124],"challenge,":[126],"present":[128],"novel":[130],"passport-aware":[131],"module":[132],"improve":[136],"gradient":[137],"optimization":[138],"stability":[139],"reduce":[141],"sensitivity":[142],"binary":[144],"flipping.":[146],"Furthermore,":[147],"conduct":[149],"comprehensive":[151],"evaluation":[152],"robustness":[155,170],"against":[158,171],"various":[159],"Extensive":[161],"evaluations":[162],"show":[163],"improves":[166],"model":[167],"performance":[168],"hope":[174],"research":[177],"will":[178],"contribute":[179],"further":[182],"advancement":[183],"networks,":[189],"especially":[190]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}