{"id":"https://openalex.org/W4415708069","doi":"https://doi.org/10.1109/icme59968.2025.11210201","title":"Feature and Temporal Disruption Attacks from Images to Videos","display_name":"Feature and Temporal Disruption Attacks from Images to Videos","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708069","doi":"https://doi.org/10.1109/icme59968.2025.11210201"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210201","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/A5101475189","display_name":"Zhanpeng Liu","orcid":"https://orcid.org/0009-0005-1908-320X"},"institutions":[{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210087327","display_name":"First Affiliated Hospital of Xiamen University","ror":"https://ror.org/0006swh35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanpeng Liu","raw_affiliation_strings":["Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China","institution_ids":["https://openalex.org/I4210087327","https://openalex.org/I191208505","https://openalex.org/I4210124907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028059100","display_name":"Yuqiang Zhang","orcid":"https://orcid.org/0000-0002-2858-7398"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang Zhang","raw_affiliation_strings":["Hubei University,School of Artificial Intelligence,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Hubei University,School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100531288","display_name":"Tianlong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlong Yu","raw_affiliation_strings":["Hubei University,School of Artificial Intelligence,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Hubei University,School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111192827","display_name":"Xi Lin","orcid":"https://orcid.org/0009-0000-1299-9008"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Lin","raw_affiliation_strings":["Xiamen University,Institute of Artificial Intelligence,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Hubei University,School of Artificial Intelligence,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Hubei University,School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009018575","display_name":"Chenxi Huang","orcid":"https://orcid.org/0000-0002-2100-0259"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Huang","raw_affiliation_strings":["Xiamen University,Institute of Artificial Intelligence,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612534","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-1589-8939"},"institutions":[{"id":"https://openalex.org/I4210087327","display_name":"First Affiliated Hospital of Xiamen University","ror":"https://ror.org/0006swh35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087327"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China","institution_ids":["https://openalex.org/I4210087327","https://openalex.org/I191208505","https://openalex.org/I4210124907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101475189"],"corresponding_institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210087327","https://openalex.org/I4210124907"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1751239,"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":0.9825999736785889,"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":0.9825999736785889,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.007199999876320362,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.002099999925121665,"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/feature","display_name":"Feature (linguistics)","score":0.7738000154495239},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7455999851226807},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.47099998593330383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777899980545044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7738000154495239},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7455999851226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6448000073432922},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.47099998593330383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4189999997615814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4018000066280365},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210201","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2016053056","https://openalex.org/W2108598243","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2809943552","https://openalex.org/W2955874753","https://openalex.org/W2962917037","https://openalex.org/W2963091558","https://openalex.org/W2963524571","https://openalex.org/W2982109374","https://openalex.org/W2990503944","https://openalex.org/W3035413240","https://openalex.org/W3092499653","https://openalex.org/W3205752464","https://openalex.org/W4312414395","https://openalex.org/W4312614039","https://openalex.org/W4382466178","https://openalex.org/W4387968190","https://openalex.org/W4390872475"],"related_works":[],"abstract_inverted_index":{"The":[0],"improvement":[1],"of":[2,4,43],"transferability":[3],"adversarial":[5,21],"examples":[6,22],"is":[7,118],"the":[8,41],"key":[9],"property":[10],"in":[11],"practical":[12],"black-box":[13],"scenarios.":[14],"Recent":[15],"research":[16],"has":[17],"identified":[18],"that":[19,111],"transferable":[20],"for":[23],"video":[24,52],"models":[25],"can":[26],"be":[27],"effectively":[28],"crafted":[29],"with":[30],"image":[31],"models.":[32],"However,":[33],"existing":[34],"studies":[35],"primarily":[36],"target":[37],"single-layer":[38],"features,":[39],"overlooking":[40],"influence":[42],"diverse":[44],"feature":[45,85],"layers.":[46],"Moreover,":[47],"they":[48],"neglect":[49],"transitions":[50],"between":[51],"frames":[53],"and":[54,68,75,88,102],"fail":[55],"to":[56,83],"fully":[57],"capture":[58],"temporal":[59,89],"context.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"introduce":[65],"an":[66],"efficient":[67],"stable":[69],"cross-modal":[70],"attack":[71],"method":[72],"termed":[73],"Feature":[74,98],"Temporal":[76,104],"Disruption":[77],"Attack":[78,100,106],"(FTDA).":[79],"Our":[80,116],"approach":[81,113],"caters":[82],"both":[84],"space":[86],"diversity":[87],"cues":[90],"by":[91],"introducing":[92],"two":[93],"innovative":[94],"modules,":[95],"i.e.,":[96],"Depth-Aware":[97],"Fusion":[99,105],"(DF2A)":[101],"Clip-Based":[103],"(CTFA).":[107],"Extensive":[108],"experiments":[109],"demonstrate":[110],"our":[112],"achieves":[114],"SOTA.":[115],"code":[117],"available":[119],"at":[120],"https://github.com/xiaopengge2000/FTDA.":[121]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}