{"id":"https://openalex.org/W4389523893","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.302","title":"Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition","display_name":"Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389523893","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.302"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.emnlp-main.302","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.302","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.302","pdf_url":"https://aclanthology.org/2023.emnlp-main.302.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.emnlp-main.302.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067025425","display_name":"Sander Schulhoff","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sander Schulhoff","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104211448","display_name":"Jeremy Pinto","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeremy Pinto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101273086","display_name":"Anaum Khan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anaum Khan","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068433381","display_name":"Louis-Fran\u00e7ois Bouchard","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Louis-Fran\u00e7ois Bouchard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112665488","display_name":"Chenglei Si","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenglei Si","raw_affiliation_strings":["Stanford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093382196","display_name":"Svetlina Anati","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Svetlina Anati","raw_affiliation_strings":["Technical University of Sofia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Sofia","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093382197","display_name":"Valen Tagliabue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valen Tagliabue","raw_affiliation_strings":["University of Milan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Milan","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015082751","display_name":"Anson Liu Kost","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anson Kost","raw_affiliation_strings":["NYU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016996434","display_name":"Christopher Carnahan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Carnahan","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081307846","display_name":"Jordan Lee Boyd-Graber","orcid":"https://orcid.org/0000-0002-7770-4431","observed_orcids":["https://orcid.org/0000-0002-7770-4431"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Boyd-Graber","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067025425"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":18.0793,"has_fulltext":true,"cited_by_count":157,"citation_normalized_percentile":{"value":0.99509495,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4945","last_page":"4977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7958999872207642,"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":0.7958999872207642,"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/T10028","display_name":"Topic Modeling","score":0.14159999787807465,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.04659999907016754,"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/large-language-models","display_name":"large language models","score":0.968999981880188},{"id":"https://openalex.org/keywords/prompt-injection","display_name":"prompt injection","score":0.4050000011920929},{"id":"https://openalex.org/keywords/systemic-vulnerability","display_name":"systemic vulnerability","score":0.6029999852180481},{"id":"https://openalex.org/keywords/adversarial-prompts","display_name":"adversarial prompts","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C86844869","wikidata":"https://www.wikidata.org/wiki/Q2798820","display_name":"Hacker","level":2,"score":0.8243205547332764},{"id":"https://openalex.org/C2776815978","wikidata":"https://www.wikidata.org/wiki/Q953145","display_name":"Sander","level":2,"score":0.7354253530502319},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.6784307956695557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3152950406074524},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27367717027664185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2579987049102783},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08895891904830933},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/2023.emnlp-main.302","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.302","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.302","pdf_url":"https://aclanthology.org/2023.emnlp-main.302.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2311.16119","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.16119","pdf_url":"https://arxiv.org/pdf/2311.16119","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.arizona.edu:10150/673142","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10150/673142","pdf_url":"https://repository.arizona.edu/bitstream/10150/673142/1/2023.emnlp-main.302.pdf","source":{"id":"https://openalex.org/S4306400271","display_name":"UA Campus Repository (The University of Arizona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I138006243","host_organization_name":"University of Arizona","host_organization_lineage":["https://openalex.org/I138006243"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings","raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.16119","doi":"https://doi.org/10.48550/arxiv.2311.16119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.16119","pdf_url":null,"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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.emnlp-main.302","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.302","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.302","pdf_url":"https://aclanthology.org/2023.emnlp-main.302.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389523893.pdf","grobid_xml":"https://content.openalex.org/works/W4389523893.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2398297630","https://openalex.org/W3003928769","https://openalex.org/W3023533951","https://openalex.org/W3030163527","https://openalex.org/W3043638540","https://openalex.org/W3088599783","https://openalex.org/W3098267758","https://openalex.org/W3112689365","https://openalex.org/W3195577433","https://openalex.org/W3198599617","https://openalex.org/W4223908421","https://openalex.org/W4285129823","https://openalex.org/W4296413526","https://openalex.org/W4306808680","https://openalex.org/W4308760226","https://openalex.org/W4309395891","https://openalex.org/W4366548330","https://openalex.org/W4380551302","https://openalex.org/W4385019259","https://openalex.org/W4385387622","https://openalex.org/W4385571830","https://openalex.org/W4385572225","https://openalex.org/W4386148104","https://openalex.org/W4387389797","https://openalex.org/W4387427592","https://openalex.org/W4387967929","https://openalex.org/W4389617257","https://openalex.org/W4390190425","https://openalex.org/W4392681182","https://openalex.org/W4393157467","https://openalex.org/W4404515031","https://openalex.org/W4405181600","https://openalex.org/W7131890740","https://openalex.org/W7133204634","https://openalex.org/W7133224126","https://openalex.org/W7133254726"],"related_works":["https://openalex.org/W4389157312","https://openalex.org/W7117998070","https://openalex.org/W7166869285","https://openalex.org/W7167594074","https://openalex.org/W4414803845","https://openalex.org/W4415844496","https://openalex.org/W4412888817","https://openalex.org/W7160620784","https://openalex.org/W4411119607","https://openalex.org/W7119510110"],"abstract_inverted_index":{"Sander":[0],"Schulhoff,":[1],"Jeremy":[2],"Pinto,":[3],"Anaum":[4],"Khan,":[5],"Louis-Fran\u00e7ois":[6],"Bouchard,":[7],"Chenglei":[8],"Si,":[9],"Svetlina":[10],"Anati,":[11],"Valen":[12],"Tagliabue,":[13],"Anson":[14],"Kost,":[15],"Christopher":[16],"Carnahan,":[17],"Jordan":[18],"Boyd-Graber.":[19],"Proceedings":[20],"of":[21],"the":[22],"2023":[23],"Conference":[24],"on":[25],"Empirical":[26],"Methods":[27],"in":[28],"Natural":[29],"Language":[30],"Processing.":[31],"2023.":[32]},"counts_by_year":[{"year":2026,"cited_by_count":79},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-12-11T00:00:00"}