{"id":"https://openalex.org/W4414198835","doi":"https://doi.org/10.1109/mmar65820.2025.11150827","title":"Detection of Building Infrastructure Elements in Layouts Using YOLO as a Foundation for Graph-Based Adversarial Attack Path Modeling","display_name":"Detection of Building Infrastructure Elements in Layouts Using YOLO as a Foundation for Graph-Based Adversarial Attack Path Modeling","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4414198835","doi":"https://doi.org/10.1109/mmar65820.2025.11150827"},"language":"en","primary_location":{"id":"doi:10.1109/mmar65820.2025.11150827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar65820.2025.11150827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR)","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/A5063627981","display_name":"Jan Kapusta","orcid":"https://orcid.org/0000-0003-4523-1227"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jan Kapusta","raw_affiliation_strings":["AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033380421","display_name":"Waldemar Bauer","orcid":"https://orcid.org/0000-0002-8543-0995"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Waldemar Bauer","raw_affiliation_strings":["AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013813735","display_name":"Jerzy Baranowski","orcid":"https://orcid.org/0000-0003-3313-581X"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jerzy Baranowski","raw_affiliation_strings":["AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krakow,Department of Automatic Control & Robotics,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31686354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14445","display_name":"Transportation Safety and Impact Analysis","score":0.9017000198364258,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14445","display_name":"Transportation Safety and Impact Analysis","score":0.9017000198364258,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/adversarial-system","display_name":"Adversarial system","score":0.6371999979019165},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5453000068664551},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45249998569488525},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4372999966144562},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4133000075817108},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.35929998755455017},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565500020980835},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34709998965263367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3377000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3167000114917755},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C29852176","wikidata":"https://www.wikidata.org/wiki/Q373338","display_name":"Critical infrastructure","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C66862320","wikidata":"https://www.wikidata.org/wiki/Q842017","display_name":"Building information modeling","level":3,"score":0.2720000147819519},{"id":"https://openalex.org/C158436829","wikidata":"https://www.wikidata.org/wiki/Q4787054","display_name":"Architectural geometry","level":5,"score":0.2655999958515167},{"id":"https://openalex.org/C107053488","wikidata":"https://www.wikidata.org/wiki/Q2674423","display_name":"Construction engineering","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar65820.2025.11150827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar65820.2025.11150827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2336416123","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2982936646","https://openalex.org/W3003667836","https://openalex.org/W4386597110"],"related_works":[],"abstract_inverted_index":{"Protecting":[0],"buildings\u2014especially":[1],"critical":[2],"infrastructure\u2014has":[3],"become":[4],"increasingly":[5],"urgent":[6],"amid":[7],"evolving":[8],"threats.":[9],"Traditional":[10],"assessments,":[11],"based":[12],"on":[13],"visual":[14],"inspections":[15],"and":[16,23,87,104,129],"expert":[17],"analyses,":[18],"struggle":[19],"with":[20,91,120],"the":[21,53,65,127],"complexity":[22],"scale":[24],"of":[25,52,85,131],"modern":[26],"structures.":[27],"Meanwhile,":[28],"although":[29],"object":[30,102],"detection":[31],"is":[32],"widely":[33],"used":[34],"in":[35,61],"real-time":[36],"surveillance,":[37],"its":[38],"application":[39],"to":[40,56],"static":[41],"architectural":[42,62,93],"layouts":[43,90],"remains":[44],"limited.":[45],"This":[46],"paper":[47],"presents":[48],"a":[49,82,96],"novel":[50],"use":[51],"YOLOv8m":[54,98],"framework":[55,108],"automatically":[57],"identify":[58],"structural":[59],"elements":[60],"plans,":[63],"laying":[64],"groundwork":[66],"for":[67,100,109],"building":[68,89],"topological":[69],"graphs":[70],"that":[71],"map":[72],"potential":[73],"adversarial":[74],"attack":[75],"paths.":[76],"Our":[77],"work":[78],"contributes":[79],"by":[80],"creating":[81],"curated":[83],"dataset":[84],"real":[86],"synthetic":[88],"annotated":[92],"symbols,":[94],"designing":[95],"customized":[97],"pipeline":[99],"effective":[101],"detection,":[103],"developing":[105],"an":[106],"initial":[107],"converting":[110],"detections":[111],"into":[112],"graph-based":[113],"security":[114,122],"models.":[115],"By":[116],"integrating":[117],"deep":[118],"learning":[119],"traditional":[121],"methods,":[123],"this":[124],"research":[125],"enhances":[126],"modeling":[128],"assessment":[130],"physical":[132],"security.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}