{"id":"https://openalex.org/W4415708563","doi":"https://doi.org/10.1109/icme59968.2025.11209370","title":"Optimizing and Attacking Embodied Intelligence: Instruction Decomposition and Adversarial Robustness","display_name":"Optimizing and Attacking Embodied Intelligence: Instruction Decomposition and Adversarial Robustness","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708563","doi":"https://doi.org/10.1109/icme59968.2025.11209370"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330248","display_name":"Minghao Li","orcid":"https://orcid.org/0000-0002-0089-3561"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghao Li","raw_affiliation_strings":["Heilongjiang University Binjiang Research Institute of Zhejiang University,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University Binjiang Research Institute of Zhejiang University,Harbin,China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062268486","display_name":"Wenpeng Xing","orcid":"https://orcid.org/0000-0001-5848-9417"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Xing","raw_affiliation_strings":["Zhejiang University,Hang Zhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hang Zhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072988055","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-9031-9696"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Heilongjiang University,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University,Harbin,China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685148","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-0790-4753"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Heilongjiang University,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University,Harbin,China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785901","display_name":"Meng Han","orcid":"https://orcid.org/0000-0001-7472-0842"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Han","raw_affiliation_strings":["Zhejiang University Gentel.io,Hang Zhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University Gentel.io,Hang Zhou,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100330248"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1645124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.890999972820282,"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":0.890999972820282,"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":0.019700000062584877,"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":0.013100000098347664,"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/adversarial-system","display_name":"Adversarial system","score":0.8959000110626221},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.832099974155426},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7185999751091003},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5008000135421753},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4546999931335449},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.4027999937534332},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.35989999771118164},{"id":"https://openalex.org/keywords/malleability","display_name":"Malleability","score":0.31700000166893005}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8959000110626221},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.832099974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7901999950408936},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7185999751091003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576000213623047},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4546999931335449},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.4027999937534332},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3695000112056732},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C100980136","wikidata":"https://www.wikidata.org/wiki/Q4668956","display_name":"Malleability","level":4,"score":0.31700000166893005},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2948947170","https://openalex.org/W3108324072","https://openalex.org/W3134329288","https://openalex.org/W4385708679","https://openalex.org/W4390771941","https://openalex.org/W4396782927","https://openalex.org/W4402667043","https://openalex.org/W4403792158","https://openalex.org/W4403808970","https://openalex.org/W4406208739","https://openalex.org/W4408353845","https://openalex.org/W4410536678","https://openalex.org/W4413240314"],"related_works":[],"abstract_inverted_index":{"Embodied":[0],"intelligence,":[1],"which":[2],"enables":[3],"agents":[4],"to":[5,32],"interact":[6],"with":[7,115],"the":[8,105],"physical":[9],"world,":[10],"has":[11],"gained":[12],"significant":[13],"attention":[14,63],"for":[15],"its":[16],"real-world":[17,102],"applications.":[18],"However,":[19],"these":[20],"systems":[21],"face":[22],"two":[23,50],"key":[24],"challenges:":[25],"optimizing":[26],"task":[27],"instructions":[28],"and":[29,49,68,78,86,121],"addressing":[30],"vulnerabilities":[31,88],"adversarial":[33,57,70,109],"attacks.":[34],"We":[35],"propose":[36],"an":[37,56],"AI":[38],"agent":[39],"integrating":[40],"a":[41,46],"large":[42],"language":[43],"model":[44],"(LLM),":[45],"CLIP":[47],"model,":[48],"contextual":[51],"databases.":[52],"Additionally,":[53],"we":[54],"introduce":[55],"attack":[58,110],"framework":[59],"that":[60,96],"manipulates":[61],"prompt":[62],"by":[64],"replacing":[65],"high-attention":[66],"words":[67],"appending":[69],"suffixes,":[71],"inducing":[72],"hazardous":[73],"behaviors":[74],"while":[75],"maintaining":[76],"visual":[77],"semantic":[79],"plausibility.":[80],"Our":[81],"work":[82],"advances":[83],"instruction":[84],"optimization":[85,98],"highlights":[87],"in":[89,123],"embodied":[90,124],"intelligence":[91,125],"systems.":[92,126],"Experimental":[93],"results":[94],"show":[95],"our":[97,108],"approach":[99],"generates":[100],"precise,":[101],"instructions.":[103],"At":[104],"same":[106],"time,":[107],"achieves":[111],"higher":[112],"success":[113],"rates":[114],"reduced":[116],"computational":[117],"overhead,":[118],"advanced":[119],"optimization,":[120],"robustness":[122]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
