{"id":"https://openalex.org/W7167096944","doi":"https://doi.org/10.48550/arxiv.2607.00361","title":"ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models","display_name":"ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167096944","doi":"https://doi.org/10.48550/arxiv.2607.00361"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00361","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,"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.2607.00361","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139943087","display_name":"Zhihao Dou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dou, Zhihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722882","display_name":"Qi Zhao","orcid":"https://orcid.org/0009-0008-7272-9374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Qinjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103691337","display_name":"Gao Z","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Zhiqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090690054","display_name":"Sumon Biswas","orcid":"https://orcid.org/0000-0001-7074-1953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Biswas, Sumon","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":0.8500999808311462,"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":0.8500999808311462,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09380000084638596,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01080000028014183,"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/backdoor","display_name":"Backdoor","score":0.982200026512146},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4666999876499176},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.37040001153945923},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3190000057220459},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3066999912261963}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.982200026512146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009999752044678},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553000032901764},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28439998626708984},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28060001134872437},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00361","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,"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.2607.00361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00361","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision--Language":[0],"Models":[1],"(VLMs)":[2],"are":[3,26],"increasingly":[4],"deployed":[5],"in":[6],"safety-critical":[7],"applications,":[8],"yet":[9],"remain":[10],"vulnerable":[11],"to":[12,71,97],"backdoor":[13,41],"attacks.":[14],"Existing":[15],"methods":[16],"primarily":[17],"manipulate":[18],"final":[19],"outputs,":[20],"often":[21],"producing":[22],"reasoning":[23,75,88,116],"traces":[24],"that":[25,43,103],"inconsistent":[27],"or":[28],"easily":[29],"detectable.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"propose":[35],"ReShift,":[36],"the":[37,46],"novel":[38],"aha-moment-driven":[39],"reasoning-level":[40],"framework":[42],"explicitly":[44],"redirects":[45],"internal":[47],"chain-of-thought":[48],"(CoT)":[49],"trajectory":[50],"while":[51,110],"preserving":[52],"surface-level":[53],"coherence.":[54],"ReShift":[55,104],"introduces":[56],"a":[57,65,83],"Poisoned":[58],"Reasoning-Aware":[59],"Data":[60],"Construction":[61],"(PRDC)":[62],"pipeline":[63],"and":[64,90,114],"Supervised--Reinforcement":[66],"Joint":[67],"Optimization":[68],"(SRJO)":[69],"strategy":[70],"induce":[72],"stable":[73],"trigger-conditioned":[74],"shifts.":[76],"We":[77],"further":[78],"formalize":[79],"Entropy":[80],"Rebound":[81],"as":[82],"principled":[84],"signal":[85],"for":[86],"characterizing":[87],"redirection":[89],"provide":[91],"theoretical":[92],"guaranties":[93],"linking":[94],"entropy":[95],"gaps":[96],"trajectory-level":[98],"divergence.":[99],"Extensive":[100],"experiments":[101],"demonstrate":[102],"achieves":[105],"high":[106],"attack":[107],"success":[108],"rates":[109],"maintaining":[111],"clean-task":[112],"performance":[113],"realistic":[115],"traces,":[117],"substantially":[118],"improving":[119],"stealthiness":[120],"against":[121],"existing":[122],"defenses.":[123]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}