{"id":"https://openalex.org/W4412944992","doi":"https://doi.org/10.18653/v1/2025.acl-long.890","title":"Can Indirect Prompt Injection Attacks Be Detected and Removed?","display_name":"Can Indirect Prompt Injection Attacks Be Detected and Removed?","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944992","doi":"https://doi.org/10.18653/v1/2025.acl-long.890"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.890","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.890","pdf_url":"https://aclanthology.org/2025.acl-long.890.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.890.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100398890","display_name":"Yulin Chen","orcid":"https://orcid.org/0000-0001-5679-4055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulin Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086448068","display_name":"Haoran Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119204421","display_name":"Yuan Sui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Sui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067747030","display_name":"Ying He","orcid":"https://orcid.org/0000-0003-2023-5547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufei He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589956","display_name":"Yue Liu","orcid":"https://orcid.org/0009-0001-6279-7815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065675832","display_name":"Bryan Hooi","orcid":"https://orcid.org/0000-0002-5645-1754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bryan Hooi","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":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"18189","last_page":"18206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9957000017166138,"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/T11424","display_name":"Security and Verification in Computing","score":0.9847999811172485,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9832000136375427,"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/computer-security","display_name":"Computer security","score":0.4585099518299103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4492529332637787}],"concepts":[{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4585099518299103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4492529332637787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.890","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.890","pdf_url":"https://aclanthology.org/2025.acl-long.890.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-169072","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-169072","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.890","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.890","pdf_url":"https://aclanthology.org/2025.acl-long.890.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944992.pdf","grobid_xml":"https://content.openalex.org/works/W4412944992.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Prompt":[0],"injection":[1,72,100,116,131],"attacks":[2],"manipulate":[3],"large":[4],"language":[5],"models":[6,158],"(LLMs)":[7],"by":[8],"misleading":[9],"them":[10,67],"to":[11,30,56,107,113,197],"deviate":[12],"from":[13,88],"the":[14,33,80,108,115,123,144,171,177,188],"original":[15,34],"input":[16,35],"instructions":[17,36,85],"and":[18,28,37,103,127,133,149,153,180,186,199],"execute":[19],"maliciously":[20,38],"injected":[21,39,84,178,184,201],"instructions,":[22,185],"because":[23],"of":[24,66,125,146],"their":[25],"instruction-following":[26],"capabilities":[27],"inability":[29],"distinguish":[31],"between":[32],"instructions.To":[40],"defend":[41],"against":[42],"such":[43,91],"attacks,":[44,73,132],"recent":[45],"studies":[46],"have":[47],"developed":[48],"various":[49],"detection":[50,60,101,151,157],"mechanisms.If":[51],"we":[52,121,134,142,154,165],"restrict":[53],"ourselves":[54],"specifically":[55],"works":[57,78,97],"which":[58,175,192],"perform":[59],"rather":[61],"than":[62],"direct":[63,70],"defense,":[64],"most":[65],"focus":[68],"on":[69],"prompt":[71,130],"while":[74],"there":[75],"are":[76,86],"few":[77],"for":[79,139],"indirect":[81,129],"scenario,":[82],"where":[83],"indirectly":[87],"external":[89],"tools,":[90],"as":[92],"a":[93,136],"search":[94],"engine.Moreover,":[95],"current":[96],"mainly":[98],"investigate":[99,122],"methods":[102],"pay":[104],"less":[105],"attention":[106],"post-processing":[109],"method":[110],"that":[111],"aims":[112],"mitigate":[114],"after":[117],"detection.In":[118],"this":[119],"paper,":[120],"feasibility":[124],"detecting":[126],"removing":[128],"construct":[135],"benchmark":[137],"dataset":[138],"evaluation.For":[140],"detection,":[141],"assess":[143],"performance":[145],"existing":[147],"LLMs":[148],"open-source":[150],"models,":[152],"further":[155],"train":[156],"using":[159],"our":[160],"crafted":[161],"training":[162],"datasets.For":[163],"removal,":[164],"evaluate":[166],"two":[167],"intuitive":[168],"methods:":[169],"(1)":[170],"segmentation":[172],"removal":[173,190],"method,":[174,191],"segments":[176],"document":[179],"removes":[181],"parts":[182],"containing":[183],"(2)":[187],"extraction":[189,195],"trains":[193],"an":[194],"model":[196],"identify":[198],"remove":[200],"instructions.":[202],"1":[203]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}