{"id":"https://openalex.org/W7160195420","doi":"https://doi.org/10.48550/arxiv.2605.00445","title":"The Power of Order: Fooling LLMs with Adversarial Table Permutations","display_name":"The Power of Order: Fooling LLMs with Adversarial Table Permutations","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160195420","doi":"https://doi.org/10.48550/arxiv.2605.00445"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.00445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00445","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":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.2605.00445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079198353","display_name":"Xinshuai Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Xinshuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135182664","display_name":"Haifeng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Haifeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084065027","display_name":"Xuyuan Liu","orcid":"https://orcid.org/0009-0002-3953-9292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xuyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103181412","display_name":"Shengyu Chen","orcid":"https://orcid.org/0009-0006-9576-9841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135154218","display_name":"Haoyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844572","display_name":"Shaoan Xie","orcid":"https://orcid.org/0000-0003-1003-7459"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Shaoan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135182882","display_name":"Kun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075127080","display_name":"Zhengzhang Chen","orcid":"https://orcid.org/0000-0002-6803-0535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhengzhang","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/T10028","display_name":"Topic Modeling","score":0.42250001430511475,"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/T10028","display_name":"Topic Modeling","score":0.42250001430511475,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.17630000412464142,"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/T11719","display_name":"Data Quality and Management","score":0.07919999957084656,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7924000024795532},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6622999906539917},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6061000227928162},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5910999774932861},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4083000123500824}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7924000024795532},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6622999906539917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64410001039505},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5910999774932861},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4964999854564667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2842000126838684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26260000467300415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.00445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00445","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.00445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00445","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"have":[3],"achieved":[4],"remarkable":[5],"success":[6],"and":[7,60,133,139],"are":[8,73],"increasingly":[9],"deployed":[10],"in":[11,148],"critical":[12],"applications":[13],"involving":[14],"tabular":[15,50],"data,":[16,154],"such":[17],"as":[18],"Table":[19,91],"Question":[20],"Answering.":[21],"However,":[22],"their":[23],"robustness":[24],"to":[25,46,76,103,159],"the":[26,47,68,116,136,156],"structure":[27],"of":[28,49,58,118,122],"this":[29,86],"input":[30],"remains":[31],"a":[32,43,93,119,126,145],"critical,":[33],"unaddressed":[34],"question.":[35],"This":[36,124],"paper":[37],"demonstrates":[38],"that":[39,55,64,97,112],"modern":[40],"LLMs":[41,151],"exhibit":[42],"significant":[44],"vulnerability":[45,128],"layout":[48],"data.":[51],"Specifically,":[52],"we":[53,88],"show":[54],"semantically-invariant":[56],"permutations":[57,101],"rows":[59],"columns":[61],"-":[62,72],"rearrangements":[63],"do":[65],"not":[66],"alter":[67],"table's":[69],"underlying":[70],"information":[71],"sometimes":[74],"sufficient":[75],"cause":[77],"incorrect":[78],"or":[79],"inconsistent":[80],"model":[81,106,131],"outputs.":[82],"To":[83],"systematically":[84],"probe":[85],"vulnerability,":[87],"introduce":[89],"Adversarial":[90],"Permutation,":[92],"novel,":[94],"gradient-based":[95],"attack":[96],"efficiently":[98],"identifies":[99],"worst-case":[100],"designed":[102],"maximally":[104],"disrupt":[105],"performance.":[107],"Our":[108,142],"extensive":[109],"experiments":[110],"demonstrate":[111],"ATP":[113],"significantly":[114],"degrades":[115],"performance":[117],"wide":[120],"range":[121],"LLMs.":[123],"reveals":[125],"pervasive":[127],"across":[129],"different":[130],"sizes":[132],"architectures,":[134],"including":[135],"most":[137],"recent":[138],"popular":[140],"models.":[141],"findings":[143],"expose":[144],"fundamental":[146],"weakness":[147],"how":[149],"current":[150],"process":[152],"structured":[153],"underscoring":[155],"urgent":[157],"need":[158],"develop":[160],"permutation-robust":[161],"models":[162],"for":[163],"reliable,":[164],"real-world":[165],"applications.":[166]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-05T00:00:00"}