{"id":"https://openalex.org/W4396698086","doi":"https://doi.org/10.1007/s40747-024-01455-7","title":"ATTACK-COSM: attacking the camouflaged object segmentation model through digital world adversarial examples","display_name":"ATTACK-COSM: attacking the camouflaged object segmentation model through digital world adversarial examples","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396698086","doi":"https://doi.org/10.1007/s40747-024-01455-7"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01455-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01455-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01455-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01455-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032223387","display_name":"Qiaoyi Li","orcid":"https://orcid.org/0009-0002-6810-2786"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiaoyi Li","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112125956","display_name":"Zhengjie Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjie Wang","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":"https://orcid.org/0009-0002-6810-2786","affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506179","display_name":"Xiaoning Zhang","orcid":"https://orcid.org/0000-0001-6578-9346"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Zhang","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341552","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-5672-4110"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032223387"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.3245,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82802433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"5445","last_page":"5457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9818000197410583,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6392549872398376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6073675751686096},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5852712988853455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5067792534828186},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5064367055892944},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5058422088623047},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4162628650665283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36467018723487854}],"concepts":[{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6392549872398376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6073675751686096},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5852712988853455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5067792534828186},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5064367055892944},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5058422088623047},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4162628650665283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36467018723487854}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01455-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01455-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01455-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:74e2e4ac9fdb4044a7a33feb52428d45","is_oa":true,"landing_page_url":"https://doaj.org/article/74e2e4ac9fdb4044a7a33feb52428d45","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5445-5457 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01455-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01455-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01455-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396698086.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1994922096","https://openalex.org/W2243397390","https://openalex.org/W2296153970","https://openalex.org/W2543927648","https://openalex.org/W2570685808","https://openalex.org/W2765424254","https://openalex.org/W2774644650","https://openalex.org/W2783555701","https://openalex.org/W2901551017","https://openalex.org/W2938719104","https://openalex.org/W2943545929","https://openalex.org/W2962847335","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2963868681","https://openalex.org/W3006076803","https://openalex.org/W3027763298","https://openalex.org/W3034684132","https://openalex.org/W3094502228","https://openalex.org/W3103557498","https://openalex.org/W3143373604","https://openalex.org/W3164098653","https://openalex.org/W3168112135","https://openalex.org/W3173782971","https://openalex.org/W3174857663","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3199914841","https://openalex.org/W3203700770","https://openalex.org/W3210073375","https://openalex.org/W4213181610","https://openalex.org/W4220880800","https://openalex.org/W4221085679","https://openalex.org/W4283813802","https://openalex.org/W4285310685","https://openalex.org/W4285601297","https://openalex.org/W4286909022","https://openalex.org/W4287113479","https://openalex.org/W4287253078","https://openalex.org/W4293580221","https://openalex.org/W4293846201","https://openalex.org/W4297814571","https://openalex.org/W4304098552","https://openalex.org/W4308180443","https://openalex.org/W4308456711","https://openalex.org/W4309771115","https://openalex.org/W4309922936","https://openalex.org/W4311413270","https://openalex.org/W4312810288","https://openalex.org/W4313535374","https://openalex.org/W4315490105","https://openalex.org/W4322761329","https://openalex.org/W4366999256"],"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":{"Abstract":[0],"The":[1,47,155],"camouflaged":[2,19],"object":[3],"segmentation":[4],"model":[5,71],"(COSM)":[6],"has":[7],"recently":[8],"gained":[9],"substantial":[10],"attention":[11],"due":[12],"to":[13,17,28,31,40,49,65,76,129,147,167,188],"its":[14],"remarkable":[15],"ability":[16],"detect":[18],"objects.":[20],"Nevertheless,":[21],"deep":[22],"vision":[23,70],"models":[24],"are":[25],"widely":[26],"acknowledged":[27],"be":[29],"susceptible":[30,75],"adversarial":[32,50,94,117,153,168],"examples,":[33],"which":[34],"can":[35],"mislead":[36],"models,":[37],"causing":[38],"them":[39],"make":[41],"incorrect":[42],"predictions":[43,107,136],"through":[44,152],"imperceptible":[45],"perturbations.":[46],"vulnerability":[48],"attacks":[51],"raises":[52],"significant":[53],"concerns":[54],"when":[55],"deploying":[56],"COSM":[57,72,92,120,160,211],"in":[58,96,121,195,207],"security-sensitive":[59],"applications.":[60],"Consequently,":[61],"it":[62,165],"is":[63,73],"crucial":[64],"determine":[66],"whether":[67],"the":[68,85,97,101,106,116,130,135,145,172,176,189,204,208,214],"foundational":[69],"also":[74],"such":[77],"attacks.":[78,154,170],"To":[79],"our":[80,82,142],"knowledge,":[81],"work":[83],"represents":[84],"first":[86],"exploration":[87],"of":[88,104,119,133,174,210,219],"strategies":[89],"for":[90,108,137,216],"targeting":[91],"with":[93],"examples":[95],"digital":[98],"world.":[99],"With":[100],"primary":[102,131],"objective":[103,132],"reversing":[105,134],"both":[109,196],"masked":[110,138],"objects":[111,139],"and":[112,124,140,198,212],"backgrounds,":[113,141],"we":[114],"explore":[115],"robustness":[118],"full":[122],"white-box":[123,197],"black-box":[125,199],"settings.":[126,200],"In":[127,171],"addition":[128],"investigation":[143],"reveals":[144],"potential":[146],"generate":[148],"any":[149],"desired":[150],"mask":[151],"experimental":[156],"results":[157],"indicate":[158],"that":[159],"demonstrates":[161],"weak":[162],"robustness,":[163],"rendering":[164],"vulnerable":[166],"example":[169],"realm":[173],"COS,":[175],"projected":[177],"gradient":[178,191],"descent":[179],"(PGD)":[180],"attack":[181,185],"method":[182,194],"exhibits":[183],"superior":[184],"capabilities":[186],"compared":[187],"fast":[190],"sign":[192],"(FGSM)":[193],"These":[201],"findings":[202],"reduce":[203],"security":[205],"risks":[206],"application":[209],"pave":[213],"way":[215],"multiple":[217],"applications":[218],"COSM.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}