{"id":"https://openalex.org/W4412965778","doi":"https://doi.org/10.1109/ntms65597.2025.11076942","title":"Adversarial Attacks on Faster R-CNN Model for Object Detection in Autonomous Vehicles","display_name":"Adversarial Attacks on Faster R-CNN Model for Object Detection in Autonomous Vehicles","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4412965778","doi":"https://doi.org/10.1109/ntms65597.2025.11076942"},"language":"en","primary_location":{"id":"doi:10.1109/ntms65597.2025.11076942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms65597.2025.11076942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","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/A5119214126","display_name":"Melike Ba\u015fer","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Melike Ba\u015fer","raw_affiliation_strings":["Istanbul Technical University,Cyber Security and Privacy Research Lab,Istanbul,Turkey,34469"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Cyber Security and Privacy Research Lab,Istanbul,Turkey,34469","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040808125","display_name":"\u015eerif Baht\u0131yar","orcid":"https://orcid.org/0000-0003-0314-2621"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u015eerif Bahtiyar","raw_affiliation_strings":["Istanbul Technical University,Cyber Security and Privacy Research Lab,Istanbul,Turkey,34469"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Cyber Security and Privacy Research Lab,Istanbul,Turkey,34469","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8384336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9692999720573425,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9610999822616577,"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":0.7616462111473083},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7334762811660767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6604679822921753},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6297385692596436},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.562751054763794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.533042848110199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3599466383457184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616462111473083},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7334762811660767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604679822921753},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6297385692596436},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.562751054763794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.533042848110199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3599466383457184}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ntms65597.2025.11076942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms65597.2025.11076942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/34603","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/34603","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference object"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W639708223","https://openalex.org/W2194775991","https://openalex.org/W2603766943","https://openalex.org/W2912798476","https://openalex.org/W2947832965","https://openalex.org/W2956121407","https://openalex.org/W2973798619","https://openalex.org/W2983044655","https://openalex.org/W3013520104","https://openalex.org/W3097206420","https://openalex.org/W3132583427","https://openalex.org/W3210342734","https://openalex.org/W4362714293","https://openalex.org/W4388116280","https://openalex.org/W4390929521","https://openalex.org/W4393242443","https://openalex.org/W4396784110","https://openalex.org/W4400314861","https://openalex.org/W4401751738","https://openalex.org/W6620707391","https://openalex.org/W6640425456","https://openalex.org/W6739868092","https://openalex.org/W6752654261"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Object":[0],"detection":[1,64,122,201],"models":[2,21,65],"used":[3],"in":[4,25,125,147,203],"autonomous":[5,67,185],"driving":[6,68,186],"systems":[7,69,202],"provide":[8],"environmental":[9],"awareness":[10],"of":[11,28,46,66,90,110,128,184,195,206],"vehicles":[12],"by":[13],"making":[14],"reliable":[15],"and":[16,44,78,99,118,197],"accurate":[17],"predictions.":[18],"However,":[19],"these":[20],"show":[22,103],"significant":[23],"vulnerabilities":[24],"the":[26,41,47,55,71,82,87,91,108,111,120,129,134,154,174,182,193,204],"face":[27,205],"adversarial":[29,52,60,169],"attacks":[30,53,61],"that":[31,104,153],"can":[32],"jeopardize":[33],"system":[34],"security.":[35],"In":[36],"this":[37],"research,":[38],"we":[39],"compare":[40],"test":[42],"performance":[43,89,145,161],"evaluation":[45],"Faster":[48,155],"R-CNN":[49,156],"model":[50,92,112],"under":[51],"using":[54,93],"ApolloScape":[56,72,130],"dataset.":[57,131],"We":[58,85,188],"apply":[59],"to":[62,114,168,181,190,192],"object":[63,200],"on":[70,133,162],"dataset,":[73],"which":[74,158],"contains":[75],"real-world":[76,164],"scenes":[77,127],"high-resolution":[79],"images":[80],"for":[81,176],"first":[83],"time.":[84],"analyze":[86],"prediction":[88],"two":[94],"common":[95],"attack":[96],"methods,":[97],"FGSM":[98],"PGD.":[100],"Our":[101],"results":[102],"PGD":[105],"severely":[106],"reduces":[107],"accuracy":[109],"due":[113],"its":[115],"iterative":[116],"nature":[117],"increases":[119],"false":[121],"rate,":[123],"especially":[124],"real-life":[126],"FGSM,":[132],"other":[135],"hand,":[136],"showed":[137],"a":[138],"more":[139,198],"limited":[140],"effect,":[141],"although":[142],"it":[143],"caused":[144],"loss":[146],"critical":[148],"categories.":[149],"This":[150],"research":[151],"emphasizes":[152],"model,":[157],"shows":[159],"high":[160],"complex":[163],"datasets,":[165],"is":[166],"vulnerable":[167],"attacks.":[170],"It":[171],"also":[172],"highlights":[173],"need":[175],"robust":[177],"defense":[178],"mechanisms":[179],"tailored":[180],"challenges":[183],"systems.":[187],"aim":[189],"contribute":[191],"development":[194],"safer":[196],"secure":[199],"hostile":[207],"threats.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}