{"id":"https://openalex.org/W7204094344","doi":"https://doi.org/10.48550/arxiv.2608.21114","title":"CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents","display_name":"CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents","publication_year":2026,"publication_date":"2026-08-21","ids":{"openalex":"https://openalex.org/W7204094344","doi":"https://doi.org/10.48550/arxiv.2608.21114"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.21114","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21114","pdf_url":"https://arxiv.org/pdf/2608.21114","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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.21114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148041884","display_name":"Jiancheng Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiancheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120017279","display_name":"Mingli Zhu","orcid":"https://orcid.org/0000-0002-6412-1755","observed_orcids":["https://orcid.org/0000-0002-6412-1755"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Mingli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121145302","display_name":"Tong Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078324582","display_name":"Jiaqi Ruan","orcid":"https://orcid.org/0000-0003-2584-0738","observed_orcids":["https://orcid.org/0000-0003-2584-0738"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruan, Jiaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147951968","display_name":"Wei Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126716016","display_name":"Siyuan Liang","orcid":"https://orcid.org/0000-0002-6154-0233","observed_orcids":["https://orcid.org/0000-0002-6154-0233"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Siyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449","observed_orcids":["https://orcid.org/0000-0001-7225-5449","https://orcid.org/0000-0002-5979-578X","https://orcid.org/0000-0002-9209-036X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Dacheng","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":true,"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":0.9994999766349792,"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":0.9994999766349792,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11424","display_name":"Security and Verification in Computing","score":9.999999747378752e-05,"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/adversarial-attacks","display_name":"adversarial attacks","score":0.6639999747276306},{"id":"https://openalex.org/keywords/dreamerv3","display_name":"DreamerV3","score":0.8560000061988831},{"id":"https://openalex.org/keywords/online-attacks","display_name":"online attacks","score":0.4259999990463257},{"id":"https://openalex.org/keywords/white-box-attacks","display_name":"white-box attacks","score":0.7720000147819519},{"id":"https://openalex.org/keywords/low-rank-subspace","display_name":"low-rank subspace","score":0.6570000052452087},{"id":"https://openalex.org/keywords/preimplantation-genetic-diagnosis","display_name":"preimplantation genetic diagnosis","score":0.48500001430511475},{"id":"https://openalex.org/keywords/temporal-coherence","display_name":"temporal coherence","score":0.45100000500679016},{"id":"https://openalex.org/keywords/crafters","display_name":"crafters","score":0.9169999957084656}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7128999829292297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5918999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48989999294281006},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31850001215934753},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.21114","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21114","pdf_url":"https://arxiv.org/pdf/2608.21114","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":"doi:10.48550/arxiv.2608.21114","doi":"https://doi.org/10.48550/arxiv.2608.21114","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.21114","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":"pmh:oai:arXiv.org:2608.21114","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21114","pdf_url":"https://arxiv.org/pdf/2608.21114","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204094344.pdf","grobid_xml":"https://content.openalex.org/works/W7204094344.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7164898734","https://openalex.org/W7172336143","https://openalex.org/W7162283551","https://openalex.org/W7163157920","https://openalex.org/W7164917478","https://openalex.org/W7220707446","https://openalex.org/W7212042212","https://openalex.org/W4416246080","https://openalex.org/W7160245766","https://openalex.org/W7128399162"],"abstract_inverted_index":{"Visual":[0],"world-model":[1],"agents":[2,44],"such":[3,43],"as":[4],"DreamerV3":[5],"act":[6],"through":[7],"a":[8,14,31,57,63,88],"recurrent":[9,120],"latent":[10],"state":[11],"rather":[12],"than":[13],"single":[15],"observation,":[16,75],"which":[17],"weakens":[18],"frame-wise":[19],"observation":[20,53],"attacks":[21,41,118],"and":[22,45,86,110,128,139],"makes":[23],"their":[24],"perturbations":[25,60],"vary":[26],"sharply":[27],"over":[28],"time":[29],"under":[30],"strict":[32],"per-frame":[33],"perturbation":[34],"constraint.":[35],"We":[36],"study":[37],"white-box,":[38],"causal,":[39],"online":[40,125],"on":[42,73,133,149],"propose":[46],"Critic-Induced":[47],"Value-Subspace":[48],"Attacks":[49],"(\\textbf{CIVA}).":[50],"Our":[51],"key":[52],"is":[54],"that,":[55],"along":[56],"rollout,":[58],"critic-guided":[59,84],"concentrate":[61],"in":[62],"low-dimensional":[64],"subspace":[65,100],"induced":[66],"by":[67,91],"the":[68,79,99,124,155],"victim's":[69],"own":[70],"critic.":[71],"Based":[72],"this":[74],"CIVA":[76,143],"first":[77],"probes":[78],"frozen":[80],"victim":[81],"offline":[82],"with":[83,104,166],"PGD":[85],"extracts":[87],"low-rank":[89],"value-subspace":[90],"SVD.":[92],"At":[93],"test":[94],"time,":[95],"it":[96,153],"optimizes":[97],"only":[98],"coefficients,":[101],"smooths":[102],"them":[103,112],"an":[105],"exponential":[106],"moving":[107],"average":[108],"(EMA),":[109],"maps":[111],"back":[113],"to":[114],"pixels.":[115],"This":[116],"design":[117],"value-sensitive":[119],"dynamics":[121],"while":[122,161],"keeping":[123,162],"optimization":[126],"cheap":[127],"temporally":[129],"coherent.":[130],"Extensive":[131],"experiments":[132],"DMC":[134,150],"walker":[135,151],"walk,":[136,152],"Atari":[137],"Pong,":[138],"Crafter":[140],"show":[141],"that":[142],"consistently":[144],"outperforms":[145],"five":[146],"recent":[147],"methods;":[148],"achieves":[154],"largest":[156],"reward":[157],"drop":[158],"of":[159,168],"26.07\\%":[160],"temporal":[163],"variation":[164],"low,":[165],"TempAbs":[167],"0.646.":[169]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-25T00:00:00"}