{"id":"https://openalex.org/W7160890507","doi":"https://doi.org/10.48550/arxiv.2605.10600","title":"Generate \"Normal\", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing","display_name":"Generate \"Normal\", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160890507","doi":"https://doi.org/10.48550/arxiv.2605.10600"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.10600","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10600","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":"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.10600","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128656938","display_name":"Desen Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Desen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128663702","display_name":"Jason Hon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hon, Jason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024291604","display_name":"H Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Howe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135990741","display_name":"Saarth Rajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajan, Saarth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135994292","display_name":"Meng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135995911","display_name":"Sihang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Sihang","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":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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2653000056743622,"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":0.2653000056743622,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10199999809265137,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.07729999721050262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.8181999921798706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6439999938011169},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.611299991607666},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5350000262260437},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5273000001907349},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.48399999737739563},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/logos-bible-software","display_name":"Logos Bible Software","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.8181999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011000156402588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6439999938011169},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.611299991607666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.48159998655319214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334999918937683},{"id":"https://openalex.org/C150506046","wikidata":"https://www.wikidata.org/wiki/Q6667822","display_name":"Logos Bible Software","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.39480000734329224},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2662999927997589},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.10600","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10600","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.10600","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10600","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":"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"},"sustainable_development_goals":[{"score":0.568694531917572,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,92,107,182,198,221],"rapid":[2],"advancement":[3],"of":[4,102,189,216],"generative":[5,81],"AI,":[6],"users":[7,22],"increasingly":[8],"rely":[9],"on":[10,193],"image-generation":[11],"models":[12,82],"for":[13],"image":[14,29,75,129],"design":[15],"and":[16,83,132,176,179,191,218,223],"creation.":[17],"To":[18],"achieve":[19,186],"faithful":[20],"outputs,":[21],"typically":[23],"engage":[24],"in":[25,72,122],"multi-turn":[26],"interactions":[27],"during":[28],"refinement:":[30],"a":[31,37,47,54,61,69,119,148,155,207],"text-to-image":[32,157],"generation":[33,130],"phase":[34],"followed":[35],"by":[36,79],"text-guided":[38],"image-to-image":[39],"editing":[40],"phase.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"investigate":[46],"novel":[48],"security":[49],"vulnerability":[50],"associated":[51],"with":[52],"such":[53],"workflow.":[55],"Our":[56],"key":[57],"insight":[58],"is":[59,118,147],"that":[60,181,210],"nearly":[62],"invisible":[63],"hint,":[64],"like":[65],"branding":[66],"information":[67],"(e.g.,":[68],"logo),":[70],"embedded":[71],"an":[73,124,127,152,212],"input":[74],"can":[76,185],"be":[77],"recognized":[78],"downstream":[80],"subsequently":[84],"re-rendered":[85],"onto":[86],"semantically":[87],"related":[88],"objects,":[89],"even":[90],"when":[91],"user":[93],"prompt":[94],"does":[95],"not":[96],"explicitly":[97],"mention":[98],"it.":[99],"This":[100],"form":[101],"hidden":[103,134,163],"payload":[104],"injection":[105],"makes":[106],"attack":[108,114],"stealthy.":[109],"We":[110,165,204],"study":[111],"two":[112,183],"realistic":[113],"scenarios.":[115],"The":[116,145],"first":[117],"phishing-based":[120,222],"setting,":[121,150],"which":[123],"attacker":[125,153],"controls":[126],"online":[128],"service":[131],"injects":[133],"content":[135],"into":[136],"generated":[137],"images":[138],"before":[139],"they":[140],"are":[141,201],"returned":[142],"to":[143],"users.":[144],"second":[146],"poison-based":[149,224],"where":[151],"distributes":[154],"compromised":[156],"diffusion":[158],"model":[159],"whose":[160],"output":[161],"contains":[162],"content.":[164],"evaluate":[166],"both":[167],"attacks":[168,184],"using":[169],"six":[170],"injected":[171,199],"payloads,":[172],"including":[173],"well-known":[174],"logos":[175,200],"customized":[177],"designs,":[178],"demonstrate":[180],"success":[187,214],"rates":[188],"44.4%":[190],"32.2%":[192],"average,":[194],"respectively,":[195],"while":[196],"ensuring":[197],"visually":[202],"imperceptible.":[203],"also":[205],"develop":[206],"mitigation":[208],"solution":[209],"achieves":[211],"average":[213],"rate":[215],"87.4%":[217],"92.3%":[219],"against":[220],"attacks,":[225],"respectively.":[226]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}