{"id":"https://openalex.org/W4408356071","doi":"https://doi.org/10.1109/icassp49660.2025.10888416","title":"GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks","display_name":"GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356071","doi":"https://doi.org/10.1109/icassp49660.2025.10888416"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5076218215","display_name":"Mingye Xie","orcid":"https://orcid.org/0000-0001-9826-9806"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingye Xie","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027871520","display_name":"Suncheng Xiang","orcid":"https://orcid.org/0000-0002-9141-6460"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suncheng Xiang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114416551","display_name":"Jiacheng Ruan","orcid":"https://orcid.org/0000-0001-5469-507X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Ruan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003889945","display_name":"Xian Gao","orcid":"https://orcid.org/0000-0002-5301-0515"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Gao","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048053848","display_name":"Zefang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefang Yu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418165","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0003-3489-4578"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101704886","display_name":"Yuzhuo Fu","orcid":"https://orcid.org/0000-0001-5516-3016"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhuo Fu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076218215"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89814746,"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":"1","last_page":"5"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8554146885871887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733963131904602},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.42921558022499084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3943674564361572},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36768171191215515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36013054847717285}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8554146885871887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733963131904602},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.42921558022499084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3943674564361572},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36768171191215515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36013054847717285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":27,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2798302089","https://openalex.org/W2962772482","https://openalex.org/W2962858109","https://openalex.org/W2963150697","https://openalex.org/W2963527086","https://openalex.org/W3017485054","https://openalex.org/W3138516171","https://openalex.org/W3185095134","https://openalex.org/W3200450146","https://openalex.org/W4214520160","https://openalex.org/W4281696655","https://openalex.org/W4320882911","https://openalex.org/W4386065718","https://openalex.org/W4386076222","https://openalex.org/W4390873750","https://openalex.org/W4395481595","https://openalex.org/W4404612908","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637162671","https://openalex.org/W6745935785","https://openalex.org/W6756976069","https://openalex.org/W6784333009","https://openalex.org/W6851740254","https://openalex.org/W6851800889","https://openalex.org/W6856347015"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Adversarial":[0],"attacks":[1,55],"pose":[2],"a":[3,71,85],"significant":[4],"challenge":[5],"in":[6,146],"deep":[7],"learning,":[8],"as":[9],"carefully":[10],"crafted":[11],"perturbations":[12],"can":[13],"severely":[14],"degrade":[15],"even":[16],"the":[17,25,44,137],"most":[18],"advanced":[19],"models.":[20,52],"In":[21],"real-world":[22,147],"scenarios,":[23],"where":[24],"target":[26,111],"models":[27],"are":[28],"often":[29,33],"unknown,":[30],"previous":[31],"works":[32],"focus":[34],"on":[35,58,84,98],"creating":[36],"adversarial":[37,138],"patterns":[38,49,139],"for":[39],"specific":[40],"known":[41],"models,":[42],"with":[43],"goal":[45],"of":[46,95],"generalizing":[47],"these":[48],"to":[50,63,114],"other":[51],"However,":[53],"such":[54],"rely":[56],"heavily":[57],"prior":[59],"model":[60,96],"information,":[61],"leading":[62],"poor":[64],"generalization.":[65],"To":[66],"overcome":[67],"this,":[68],"we":[69],"propose":[70],"novel":[72],"method":[73],"called":[74],"GPA.":[75],"Our":[76],"solution":[77],"includes":[78],"an":[79],"attention":[80,97,108],"extraction":[81],"module":[82],"based":[83],"pre-trained":[86],"vision":[87,126],"encoder,":[88],"which":[89],"captures":[90],"precise":[91],"and":[92,133],"generalizable":[93],"features":[94],"objects.":[99,112],"We":[100],"also":[101],"introduce":[102],"attack":[103,121],"loss":[104],"functions":[105],"that":[106],"divert":[107],"away":[109],"from":[110],"Compared":[113],"state-of-the-art":[115],"methods,":[116],"our":[117],"approach":[118],"achieves":[119],"superior":[120],"performance":[122],"across":[123],"various":[124],"downstream":[125],"tasks,":[127],"including":[128],"object":[129],"detection,":[130],"instance":[131],"segmentation,":[132],"depth":[134],"estimation.":[135],"Moreover,":[136],"generated":[140],"by":[141],"GPA":[142],"maintain":[143],"their":[144],"effectiveness":[145],"scenarios.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
