{"id":"https://openalex.org/W7143468060","doi":"https://doi.org/10.48550/arxiv.2603.26154","title":"IP-Bench: Benchmark for Image Protection Methods in Image-to-Video Generation Scenarios","display_name":"IP-Bench: Benchmark for Image Protection Methods in Image-to-Video Generation Scenarios","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7143468060","doi":"https://doi.org/10.48550/arxiv.2603.26154"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.26154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26154","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.2603.26154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130939180","display_name":"Xiaofeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaofeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130937964","display_name":"Leyi Sheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng, Leyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5131000633","display_name":"Zhen Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114100730","display_name":"Zongmin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zongmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049263948","display_name":"Jiaheng Wei","orcid":"https://orcid.org/0000-0003-3573-1711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Jiaheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130963731","display_name":"Xinlei He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Xinlei","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/T12357","display_name":"Digital Media Forensic Detection","score":0.30959999561309814,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.30959999561309814,"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":0.10849999636411667,"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":0.09179999679327011,"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/robustness","display_name":"Robustness (evolution)","score":0.7735999822616577},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5199000239372253},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5095000267028809},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.428600013256073},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3490999937057495},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.3424000144004822}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7735999822616577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324000120162964},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3375000059604645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305000066757202},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.320499986410141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2800000011920929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C38361682","wikidata":"https://www.wikidata.org/wiki/Q1756067","display_name":"Power-system protection","level":4,"score":0.26910001039505005},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.26154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26154","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.2603.26154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26154","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":0.45929908752441406,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"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":[1,61,91,109],"rapid":[2],"advancement":[3],"of":[4,63,93],"image-to-video":[5],"(I2V)":[6],"generation":[7,53,83,120,173],"models,":[8],"their":[9,94,152],"potential":[10],"for":[11,167],"misuse":[12],"in":[13,81,96,118,171],"creating":[14],"malicious":[15],"content":[16],"has":[17],"become":[18],"a":[19,24,32,64,160],"significant":[20],"concern.":[21],"For":[22],"instance,":[23],"single":[25],"image":[26,56,168],"can":[27,36],"be":[28,37],"exploited":[29],"to":[30,39,49,68,114],"generate":[31],"fake":[33],"video,":[34],"which":[35,89],"used":[38],"attract":[40],"attention":[41],"and":[42,85,129,150,163],"gain":[43],"benefits.":[44],"This":[45,122],"phenomenon":[46],"is":[47],"referred":[48],"as":[50],"an":[51,69],"I2V":[52,82,119,132,172],"misuse.":[54],"Existing":[55],"protection":[57,116,127,139,169],"methods":[58,75,117,128,170],"suffer":[59],"from":[60],"absence":[62],"unified":[65],"benchmark,":[66],"leading":[67],"incomplete":[70],"evaluation":[71,92,165],"framework.":[72],"Furthermore,":[73,134],"these":[74],"have":[76],"not":[77],"been":[78],"systematically":[79,137],"assessed":[80],"scenarios":[84,149],"against":[86],"preprocessing":[87],"attacks,":[88],"complicates":[90],"effectiveness":[95],"real-world":[97],"deployment":[98],"scenarios.To":[99],"address":[100],"this":[101],"challenge,":[102],"we":[103],"propose":[104],"IP-Bench":[105,158],"(Image":[106],"Protection":[107],"Bench),":[108],"first":[110],"systematic":[111],"benchmark":[112,123],"designed":[113],"evaluate":[115],"scenarios.":[121,174],"examines":[124],"6":[125],"representative":[126],"5":[130],"state-of-the-art":[131],"models.":[133],"our":[135],"work":[136],"evaluates":[138],"methods'":[140],"robustness":[141,144],"with":[142],"two":[143],"attack":[145],"strategies":[146],"under":[147],"practical":[148],"analyzes":[151],"cross-model":[153],"&":[154],"cross-modality":[155],"transferability.":[156],"Overall,":[157],"establishes":[159],"systematic,":[161],"reproducible,":[162],"extensible":[164],"framework":[166]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-31T00:00:00"}