{"id":"https://openalex.org/W7124165268","doi":"https://doi.org/10.1109/icpads67057.2025.11322888","title":"A Universal and Dynamically Aware Multi-Attack Adversarial Patch Generation Framework","display_name":"A Universal and Dynamically Aware Multi-Attack Adversarial Patch Generation Framework","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124165268","doi":"https://doi.org/10.1109/icpads67057.2025.11322888"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11322888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5101436912","display_name":"Yiwen Wang","orcid":"https://orcid.org/0000-0002-5174-2720"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiwen Wang","raw_affiliation_strings":["School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122997892","display_name":"Sheng Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Cao","raw_affiliation_strings":["School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123049954","display_name":"Xiaosong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101436912"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86100718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9388999938964844,"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":0.9388999938964844,"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":0.013700000010430813,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.009800000116229057,"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-system","display_name":"Adversarial system","score":0.8672999739646912},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5425000190734863},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.475600004196167},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45320001244544983},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.4113999903202057},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.39640000462532043}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8672999739646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799000144004822},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5425000190734863},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43380001187324524},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11322888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6637393236160278}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2603766943","https://openalex.org/W2962787423","https://openalex.org/W3135970545","https://openalex.org/W3191453585","https://openalex.org/W4319084087","https://openalex.org/W4387967929","https://openalex.org/W4390650730","https://openalex.org/W4390873481","https://openalex.org/W4402670570","https://openalex.org/W4402670757","https://openalex.org/W4405786817","https://openalex.org/W4409348010"],"related_works":[],"abstract_inverted_index":{"The":[0],"security":[1,128],"of":[2,107,144],"vision-language":[3],"pre-trained":[4],"models":[5,62],"(VLMs)":[6],"has":[7],"become":[8],"an":[9],"increasingly":[10],"critical":[11,127],"concern,":[12],"particularly":[13],"due":[14],"to":[15,18,76],"their":[16],"vulnerability":[17],"adversarial":[19,56],"attacks":[20],"in":[21,130],"open":[22],"environments.":[23],"Most":[24],"existing":[25],"methods":[26],"focus":[27],"on":[28,141],"image":[29,112],"perturbations,":[30],"ignoring":[31],"image-text":[32,110],"structural":[33],"relationships":[34],"and":[35,84,114,124,134],"the":[36,96,119,142],"need":[37],"for":[38,53,89,138],"dynamic,":[39],"semantics-aware":[40],"attack":[41,78,101],"strategies.":[42,79],"To":[43],"address":[44],"these":[45],"limitations,":[46],"we":[47],"propose":[48],"a":[49,67,105],"dynamically":[50],"adaptive":[51],"framework":[52],"generating":[54],"multi-behavior":[55],"patches.":[57],"A":[58,80],"topological":[59],"neighborhood":[60],"graph":[61],"cross-modal":[63],"semantic":[64],"structures,":[65],"while":[66],"lightweight":[68],"text":[69],"classifier":[70],"detects":[71],"sensitive":[72],"or":[73],"jailbreak":[74],"instructions":[75],"switch":[77],"two-stage":[81],"optimization-semantic":[82],"stripping":[83],"target":[85],"binding-precisely":[86],"controls":[87],"perturbations":[88],"target-specific":[90],"outputs.":[91],"Experimental":[92],"results":[93],"demonstrate":[94],"that":[95],"proposed":[97],"method":[98],"achieves":[99],"high":[100],"success":[102],"rates":[103],"across":[104],"variety":[106],"tasks,":[108],"including":[109],"retrieval,":[111],"classification,":[113],"multimodal":[115,145],"question":[116],"answering.":[117],"Moreover,":[118],"approach":[120],"exhibits":[121],"strong":[122],"robustness":[123],"adaptability,":[125],"exposing":[126],"vulnerabilities":[129],"current":[131],"VLM":[132],"systems":[133],"offering":[135],"valuable":[136],"insights":[137],"future":[139],"research":[140],"defense":[143],"models.":[146]},"counts_by_year":[],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2026-01-15T00:00:00"}
