{"id":"https://openalex.org/W4399553821","doi":"https://doi.org/10.1109/tpami.2024.3412632","title":"Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks","display_name":"Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399553821","doi":"https://doi.org/10.1109/tpami.2024.3412632","pmid":"https://pubmed.ncbi.nlm.nih.gov/38885107"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3412632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3412632","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.05857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101192294","display_name":"Zhiyuan Cheng","orcid":"https://orcid.org/0000-0001-7280-6079"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Cheng","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-7280-6079","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Han","orcid":"https://orcid.org/0000-0002-6641-8077"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Han","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-6641-8077","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":null,"display_name":"James Liang","orcid":"https://orcid.org/0000-0002-8145-3436"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Liang","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-8145-3436","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qifan Wang","orcid":"https://orcid.org/0000-0002-7570-5756"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qifan Wang","raw_affiliation_strings":["Meta AI, Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7570-5756","affiliations":[{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiangyu Zhang","orcid":"https://orcid.org/0000-0002-9544-2500"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-9544-2500","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101979289","display_name":"Dongfang Liu","orcid":"https://orcid.org/0000-0001-6995-4775"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongfang Liu","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-6995-4775","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8814,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91538193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"12","first_page":"9084","last_page":"9101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9959999918937683,"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":0.9959999918937683,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9897000193595886,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9521999955177307,"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/adversarial-system","display_name":"Adversarial system","score":0.8998383283615112},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7131279110908508},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6526416540145874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533305823802948},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5315340161323547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4584462642669678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3748859167098999},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3249077796936035},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18911245465278625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14895561337471008},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.06745645403862}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8998383283615112},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7131279110908508},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6526416540145874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533305823802948},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5315340161323547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4584462642669678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3748859167098999},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3249077796936035},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18911245465278625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14895561337471008},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.06745645403862},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3412632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3412632","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38885107","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38885107","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2406.05857","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.05857","pdf_url":"https://arxiv.org/pdf/2406.05857","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.05857","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.05857","pdf_url":"https://arxiv.org/pdf/2406.05857","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1448401626","display_name":null,"funder_award_id":"N000141712947","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2304153372","display_name":null,"funder_award_id":"N000141410468","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7485119911","display_name":null,"funder_award_id":"N000141712045","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2243397390","https://openalex.org/W2300779272","https://openalex.org/W2520707372","https://openalex.org/W2609883120","https://openalex.org/W2620038827","https://openalex.org/W2798302089","https://openalex.org/W2798991696","https://openalex.org/W2935854115","https://openalex.org/W2959364614","https://openalex.org/W2963583471","https://openalex.org/W2963654727","https://openalex.org/W2963857521","https://openalex.org/W2964097310","https://openalex.org/W2979579363","https://openalex.org/W2981495453","https://openalex.org/W2981518351","https://openalex.org/W3011708665","https://openalex.org/W3034455297","https://openalex.org/W3034781633","https://openalex.org/W3035056458","https://openalex.org/W3035524453","https://openalex.org/W3088909400","https://openalex.org/W3094984771","https://openalex.org/W3107235539","https://openalex.org/W3107956775","https://openalex.org/W3108655343","https://openalex.org/W3108735274","https://openalex.org/W3108746553","https://openalex.org/W3118635606","https://openalex.org/W3128600151","https://openalex.org/W3156877806","https://openalex.org/W3171007011","https://openalex.org/W3171953850","https://openalex.org/W3174032462","https://openalex.org/W3174581459","https://openalex.org/W3175682855","https://openalex.org/W3175958943","https://openalex.org/W3182316408","https://openalex.org/W3203943632","https://openalex.org/W4293846201","https://openalex.org/W4312311707","https://openalex.org/W4312329503","https://openalex.org/W4312815172","https://openalex.org/W4312973546","https://openalex.org/W4313177625","https://openalex.org/W4399553821","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6741036071","https://openalex.org/W6748692255","https://openalex.org/W6751839145","https://openalex.org/W6762707182","https://openalex.org/W6767088534","https://openalex.org/W6767478848","https://openalex.org/W6770739618","https://openalex.org/W6774469542","https://openalex.org/W6775457248","https://openalex.org/W6778235130","https://openalex.org/W6779153805","https://openalex.org/W6779630795","https://openalex.org/W6783802886","https://openalex.org/W6789030875","https://openalex.org/W6797105193"],"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/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Monocular":[0],"Depth":[1],"Estimation":[2],"(MDE)":[3],"plays":[4],"a":[5,71],"vital":[6],"role":[7],"in":[8,63],"applications":[9],"such":[10],"as":[11],"autonomous":[12],"driving.":[13],"However,":[14],"various":[15,127],"attacks":[16,22,95],"target":[17],"MDE":[18,42,78,121],"models,":[19,79],"with":[20,118,130],"physical":[21],"posing":[23],"significant":[24],"threats":[25],"to":[26,41],"system":[27],"security.":[28],"Traditional":[29],"adversarial":[30,74,91,128],"training":[31,75],"methods,":[32],"which":[33],"require":[34],"ground-truth":[35,46,87],"labels,":[36],"are":[37],"not":[38],"directly":[39],"applicable":[40],"models":[43],"that":[44],"lack":[45],"depth.":[47,88],"Some":[48],"self-supervised":[49,73],"model":[50],"hardening":[51],"techniques":[52],"(e.g.,":[53],"contrastive":[54,109],"learning)":[55],"overlook":[56],"the":[57,84],"domain":[58],"knowledge":[59],"of":[60],"MDE,":[61],"resulting":[62],"suboptimal":[64],"performance.":[65,135],"In":[66],"this":[67],"work,":[68],"we":[69],"introduce":[70],"novel":[72],"approach":[76],"for":[77,86,114],"leveraging":[80],"view":[81],"synthesis":[82],"without":[83],"need":[85],"We":[89,101],"enhance":[90],"robustness":[92,125],"against":[93,105,126],"real-world":[94],"by":[96],"incorporating$L_{0}$-norm-bounded":[97],"perturbation":[98],"during":[99],"training.":[100],"evaluate":[102],"our":[103],"method":[104],"supervised":[106],"learning-based":[107,110],"and":[108],"approaches":[111],"specifically":[112],"designed":[113],"MDE.":[115],"Our":[116],"experiments":[117],"two":[119],"representative":[120],"networks":[122],"demonstrate":[123],"improved":[124],"attacks,":[129],"minimal":[131],"impact":[132],"on":[133],"benign":[134]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}