{"id":"https://openalex.org/W4403747099","doi":"https://doi.org/10.1145/3658644.3690205","title":"Understanding Implosion in Text-to-Image Generative Models","display_name":"Understanding Implosion in Text-to-Image Generative Models","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4403747099","doi":"https://doi.org/10.1145/3658644.3690205"},"language":"en","primary_location":{"id":"doi:10.1145/3658644.3690205","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690205","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690205","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087349662","display_name":"Wenxin Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenxin Ding","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0009-0009-1561-3524","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014259727","display_name":"C. Li","orcid":"https://orcid.org/0009-0002-1070-1997"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cathy Y. Li","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0009-0002-1070-1997","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076606321","display_name":"Shawn Shan","orcid":"https://orcid.org/0009-0005-4324-7817"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn Shan","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0009-0005-4324-7817","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108248360","display_name":"Ben Y. Zhao","orcid":"https://orcid.org/0009-0003-8909-0494"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Y. Zhao","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0009-0003-8909-0494","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111456411","display_name":"Haitao Zheng","orcid":"https://orcid.org/0000-0002-5918-2940"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitao Zheng","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-5918-2940","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4375,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63490208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1211","last_page":"1225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9884999990463257,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9884999990463257,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9524000287055969,"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/T10758","display_name":"Cinema and Media Studies","score":0.9013000130653381,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/implosion","display_name":"Implosion","score":0.8773040771484375},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.8557122349739075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435835599899292},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6616156697273254},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6349532604217529},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6104162931442261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412201285362244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.512260377407074},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41845622658729553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4164181351661682}],"concepts":[{"id":"https://openalex.org/C196046385","wikidata":"https://www.wikidata.org/wiki/Q523919","display_name":"Implosion","level":3,"score":0.8773040771484375},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8557122349739075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435835599899292},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6616156697273254},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6349532604217529},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6104162931442261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412201285362244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.512260377407074},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41845622658729553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4164181351661682},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C82706917","wikidata":"https://www.wikidata.org/wiki/Q10251","display_name":"Plasma","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3658644.3690205","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690205","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690205","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2409.12314","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.12314","pdf_url":"https://arxiv.org/pdf/2409.12314","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3658644.3690205","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690205","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690205","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4628383806","display_name":null,"funder_award_id":"CNS-2241303, CNS-1949650","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403747099.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W3168784243","https://openalex.org/W3176641147","https://openalex.org/W4312933868","https://openalex.org/W4319299954","https://openalex.org/W4382462760","https://openalex.org/W4386072042","https://openalex.org/W4386072220","https://openalex.org/W4390871671","https://openalex.org/W4390871724","https://openalex.org/W4394593019","https://openalex.org/W4396790742"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Recent":[0],"works":[1],"show":[2],"that":[3,19,150,175],"text-to-image":[4],"generative":[5,89,191],"models":[6,21,90,239],"are":[7],"surprisingly":[8],"vulnerable":[9],"to":[10,52,69,91,181],"a":[11,37,188,230],"variety":[12],"of":[13,39,65,87,100,116,125,131,156,219],"poisoning":[14,41,71,92,235],"attacks.":[15],"Empirical":[16],"results":[17],"find":[18],"these":[20,74],"can":[22,43],"be":[23],"corrupted":[24],"by":[25,94,128,134],"altering":[26],"associations":[27],"between":[28],"individual":[29,157],"text":[30,179],"prompts":[31,158,180],"and":[32,96,120,194,209,212,240],"associated":[33],"visual":[34,185],"features.":[35],"Furthermore,":[36],"number":[38,155],"concurrent":[40],"attacks":[42,72,236],"induce":[44],"\"model":[45],"implosion,\"":[46],"where":[47],"the":[48,63,81,98,101,123,129,142,144,146,154,165,190,214],"model":[49,109,192,220],"becomes":[50,168],"unable":[51],"produce":[53],"meaningful":[54,178],"images":[55,198],"for":[56,233],"unpoisoned":[57],"prompts.":[58],"These":[59],"intriguing":[60],"findings":[61],"highlight":[62],"absence":[64],"an":[66,113,135],"intuitive":[67],"framework":[68,84,205],"understand":[70],"on":[73,85],"models.":[75,107],"In":[76],"this":[77],"work,":[78],"we":[79,210],"establish":[80],"first":[82],"analytical":[83,204],"robustness":[86],"image":[88],"attacks,":[93],"modeling":[95],"analyzing":[97],"behavior":[99],"cross-attention":[102,110],"mechanism":[103],"in":[104],"latent":[105],"diffusion":[106,238],"We":[108,148,201],"training":[111,126],"as":[112],"abstract":[114],"problem":[115],"\"supervised":[117],"graph":[118],"alignment\"":[119],"formally":[121],"quantify":[122],"impact":[124],"data":[127],"hardness":[130],"alignment,":[132],"measured":[133],"Alignment":[136],"Difficulty":[137],"(AD)":[138],"metric.":[139],"The":[140],"higher":[141],"AD,":[143],"harder":[145],"alignment.":[147],"prove":[149],"AD":[151,163],"increases":[152],"with":[153],"(or":[159],"concepts)":[160],"poisoned.":[161],"As":[162,187],"grows,":[164],"alignment":[166],"task":[167],"increasingly":[169],"difficult,":[170],"yielding":[171],"highly":[172],"distorted":[173],"outcomes":[174],"frequently":[176],"map":[177],"undefined":[182],"or":[183],"meaningless":[184],"representations.":[186],"result,":[189],"implodes":[193],"outputs":[195],"random,":[196],"incoherent":[197],"at":[199],"large.":[200],"validate":[202],"our":[203],"through":[206],"extensive":[207],"experiments,":[208],"confirm":[211],"explain":[213],"unexpected":[215],"(and":[216],"unexplained)":[217],"effect":[218],"implosion":[221],"while":[222],"producing":[223],"new,":[224],"unforeseen":[225],"insights.":[226],"Our":[227],"work":[228],"provides":[229],"useful":[231],"tool":[232],"studying":[234],"against":[237],"their":[241],"defenses.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}