{"id":"https://openalex.org/W4403325937","doi":"https://doi.org/10.1145/3688636.3688653","title":"Cross-Prompt Adversarial Attack on Segment Anything Model","display_name":"Cross-Prompt Adversarial Attack on Segment Anything Model","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4403325937","doi":"https://doi.org/10.1145/3688636.3688653"},"language":"en","primary_location":{"id":"doi:10.1145/3688636.3688653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3688636.3688653","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3688636.3688653?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 12th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3688636.3688653?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100373062","display_name":"Yuchen Liu","orcid":"https://orcid.org/0000-0003-2698-3482"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Liu","raw_affiliation_strings":["Faculty of Information Technology, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041227759","display_name":"Pengxu Wei","orcid":"https://orcid.org/0000-0002-2190-0767"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengxu Wei","raw_affiliation_strings":["Faculty of Information Technology, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100373062"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15697881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7992039918899536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563507318496704},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4976203739643097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19502389430999756}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7992039918899536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563507318496704},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4976203739643097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19502389430999756}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688636.3688653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3688636.3688653","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3688636.3688653?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 12th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3688636.3688653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3688636.3688653","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3688636.3688653?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 12th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403325937.pdf","grobid_xml":"https://content.openalex.org/works/W4403325937.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2037227137","https://openalex.org/W2603766943","https://openalex.org/W2949789602","https://openalex.org/W2963542245","https://openalex.org/W4312248169"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"Segment":[0],"Anything":[1],"Model":[2],"(SAM)":[3],"proposes":[4],"promptable":[5],"image":[6],"segmentation":[7,24],"based":[8],"on":[9,23,49,85,91,115],"various":[10,164],"types":[11],"of":[12,35,45,88,145],"prompts":[13,64],"like":[14],"points":[15],"and":[16,25,82,99,117],"boxes.":[17],"Although":[18],"SAM":[19],"presents":[20],"impressive":[21],"performance":[22,162],"provides":[26],"unparalleled":[27],"versatility,":[28],"it":[29],"still":[30],"suffers":[31],"from":[32],"the":[33,43,54,77,92,118,128,142,155],"threat":[34],"adversarial":[36,47,55,105,137],"attacks.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,94,148],"investigate":[42],"problem":[44],"cross-prompt":[46,80],"attacks":[48,81,84],"SAM,":[50],"which":[51],"considers":[52],"whether":[53],"samples":[56,106],"obtained":[57],"by":[58,131],"attacking":[59],"with":[60,154],"one":[61],"or":[62],"more":[63],"can":[65,126,149],"lead":[66],"to":[67,103,110,135,158],"incorrect":[68],"masks":[69],"under":[70],"other":[71],"unseen":[72,111],"test":[73],"prompts.":[74,89,112],"We":[75],"analyze":[76],"factors":[78],"influencing":[79],"explore":[83],"different":[86],"numbers":[87],"Based":[90],"analysis,":[93],"propose":[95],"Omni-Attack-SAM,":[96],"an":[97],"innovative":[98],"effective":[100],"attack":[101,138,161],"method":[102,125,153],"produce":[104],"that":[107,123],"are":[108],"transferable":[109],"Our":[113],"experiments":[114],"SA-1B":[116],"Pascal":[119],"VOC2012":[120],"dataset":[121],"demonstrate":[122],"our":[124,152],"decrease":[127],"mIoU":[129],"value":[130],"over":[132],"35%":[133],"compared":[134],"existing":[136],"methods":[139],"without":[140],"using":[141],"ground":[143],"truth":[144],"images.":[146],"Additionally,":[147],"also":[150],"combine":[151],"prompt":[156],"information":[157],"achieve":[159],"superior":[160],"in":[163],"scenes.":[165]},"counts_by_year":[],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
