{"id":"https://openalex.org/W7131426625","doi":"https://doi.org/10.48550/arxiv.2602.20880","title":"When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance","display_name":"When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131426625","doi":"https://doi.org/10.48550/arxiv.2602.20880"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20880","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126809543","display_name":"Yongli Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiang, Yongli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125250786","display_name":"Ziming Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Ziming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126790991","display_name":"Zhaoqing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhaoqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126832194","display_name":"Xiangyu Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xiangyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126779638","display_name":"Bo Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Bo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126832633","display_name":"Tongliang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Tongliang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5126809543"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.7125999927520752,"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":0.7125999927520752,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.06129999831318855,"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/T11019","display_name":"Image Enhancement Techniques","score":0.05660000070929527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.7106999754905701},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6017000079154968},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.3601999878883362},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3447999954223633},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.304500013589859}],"concepts":[{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.7542999982833862},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.7106999754905701},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6017000079154968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751000046730042},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20880","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.20880","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20880","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.20880","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4467727243900299}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-Image":[0],"(T2I)":[1],"diffusion":[2],"models":[3],"have":[4,23],"demonstrated":[5],"significant":[6],"advancements":[7],"in":[8],"generating":[9],"high-quality":[10],"images,":[11],"while":[12],"raising":[13],"potential":[14],"safety":[15,103,139,163],"concerns":[16],"regarding":[17],"harmful":[18,28,35,44,80,121,171],"content":[19],"generation.":[20,106],"Safety-guidance-based":[21],"methods":[22],"been":[24],"proposed":[25],"to":[26,54,64,146,154,175,178],"mitigate":[27],"outputs":[29],"by":[30,173],"steering":[31,140],"generation":[32],"away":[33],"from":[34],"zones,":[36],"where":[37,67],"the":[38,56,101,120,126,143,170],"zones":[39],"are":[40],"averaged":[41],"across":[42],"multiple":[43],"categories":[45],"based":[46],"on":[47,161],"predefined":[48],"keywords.":[49],"However,":[50],"these":[51],"approaches":[52],"fail":[53],"capture":[55],"complex":[57],"interplay":[58],"among":[59],"different":[60],"harm":[61,72],"categories,":[62],"leading":[63],"\"harmful":[65],"conflicts\"":[66],"mitigating":[68],"one":[69],"type":[70],"of":[71,110],"may":[73],"inadvertently":[74],"amplify":[75],"another,":[76],"thus":[77],"increasing":[78],"overall":[79],"rate.":[81],"To":[82],"address":[83],"this":[84],"issue,":[85],"we":[86],"propose":[87],"Conflict-aware":[88,114],"Adaptive":[89],"Safety":[90],"Guidance":[91,134],"(CASG),":[92],"a":[93],"training-free":[94],"framework":[95],"that":[96],"dynamically":[97],"identifies":[98,119],"and":[99,131,157],"applies":[100,138],"category-aligned":[102],"direction":[104],"during":[105],"CASG":[107,150],"is":[108],"composed":[109],"two":[111],"components:":[112],"(i)":[113],"Category":[115],"Identification":[116],"(CaCI),":[117],"which":[118,137],"category":[122,145],"most":[123],"aligned":[124],"with":[125],"model's":[127],"evolving":[128],"generative":[129],"state,":[130],"(ii)":[132],"Conflict-resolving":[133],"Application":[135],"(CrGA),":[136],"solely":[141],"along":[142],"identified":[144],"avoid":[147],"multi-category":[148],"interference.":[149],"can":[151],"be":[152],"applied":[153],"both":[155],"latent-space":[156],"text-space":[158],"safeguards.":[159],"Experiments":[160],"T2I":[162],"benchmarks":[164],"demonstrate":[165],"CASG's":[166],"state-of-the-art":[167],"performance,":[168],"reducing":[169],"rate":[172],"up":[174],"15.4%":[176],"compared":[177],"existing":[179],"methods.":[180]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}