{"id":"https://openalex.org/W7167730040","doi":"https://doi.org/10.48550/arxiv.2607.06484","title":"Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles","display_name":"Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles","publication_year":2026,"publication_date":"2026-07-07","ids":{"openalex":"https://openalex.org/W7167730040","doi":"https://doi.org/10.48550/arxiv.2607.06484"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.06484","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06484","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.06484","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140285253","display_name":"Marwan Lazrag","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lazrag, Marwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043492852","display_name":"Badis Hammi","orcid":"https://orcid.org/0000-0002-4470-6406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hammi, Badis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051341942","display_name":"Lorena Gonz\u00e1lez\u2010Manzano","orcid":"https://orcid.org/0000-0002-3490-621X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonzalez-Manzano, Lorena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011415694","display_name":"Joaqu\u00edn Garc\u00eda-Alfaro","orcid":"https://orcid.org/0000-0002-7453-4393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garcia-Alfaro, Joaquin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9101999998092651,"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":0.9101999998092651,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.009999999776482582,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.007799999788403511,"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/point","display_name":"Point (geometry)","score":0.48899999260902405},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4821999967098236},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4424999952316284},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42980000376701355},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4043999910354614},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.39890000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052000164985657},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47600001096725464},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.39890000224113464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3962000012397766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35670000314712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2782999873161316}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.06484","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06484","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.06484","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06484","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.43479037284851074,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"},{"score":0.4256708323955536,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Poisoning":[0],"attacks":[1],"against":[2],"public":[3],"datasets":[4,108,151],"lead":[5],"to":[6,115,134,175,179],"major":[7],"concerns,":[8],"such":[9],"as":[10],"(i)":[11],"misclassification":[12],"of":[13,27,61,75,83,95,102,120,128,138],"perceived":[14],"objects":[15],"when":[16,36,123],"the":[17,40,44,59,73,81,100,117,125,136,149,154,161,164,184],"poisoned":[18,84,104],"data":[19,50,56,70,139],"is":[20,53,113,172],"used":[21],"for":[22],"training":[23],"and":[24,109,152,170,178],"(ii)":[25],"embedding":[26],"backdoors":[28],"that":[29,111,145],"may":[30],"eventually":[31],"be":[32],"triggered":[33],"later":[34],"on,":[35],"specific":[37],"conditions":[38],"in":[39,91,160,183],"system":[41],"apply":[42],"over":[43,49,148],"learned":[45],"models.":[46],"Its":[47],"impact":[48,74],"augmentation":[51,57,71,121,140],"models":[52],"unclear.":[54],"While":[55],"reduces":[58],"likelihood":[60],"poisoning":[62,76,112,146],"attack":[63],"success,":[64],"some":[65,94],"valid":[66],"questions":[67],"remain.":[68],"Is":[69],"affecting":[72],"attacks?":[77],"can":[78],"it":[79],"increase":[80],"number":[82],"samples":[85],"or":[86],"injected":[87],"backdoors?":[88],"We":[89,98,142],"explore":[90],"this":[92],"paper":[93],"these":[96],"questions.":[97],"assess":[99],"effects":[101],"augmenting":[103],"3D":[105],"point":[106],"cloud":[107],"validate":[110,144],"able":[114],"evade":[116],"sanitizing":[118],"nature":[119],"techniques":[122,133],"using":[124],"concrete":[126],"case":[127,137],"Generative":[129],"Adversarial":[130],"Network":[131],"(GAN)":[132],"exemplify":[135],"processing.":[141],"also":[143],"propagates":[147],"augmented":[150],"perturbs":[153],"decision":[155],"made":[156],"by":[157],"general-purpose":[158],"classifiers,":[159],"end.":[162],"All":[163],"experimental":[165],"material":[166],"(including":[167],"tools,":[168],"datasets,":[169],"classifiers)":[171],"publicly":[173],"available,":[174],"facilitate":[176],"reproducibility":[177],"foster":[180],"further":[181],"research":[182],"topic.":[185]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-09T00:00:00"}