{"id":"https://openalex.org/W4415708713","doi":"https://doi.org/10.1109/icme59968.2025.11209029","title":"Boosting Adversarial Transferability by Constructing Adversarial Trajectories","display_name":"Boosting Adversarial Transferability by Constructing Adversarial Trajectories","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708713","doi":"https://doi.org/10.1109/icme59968.2025.11209029"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209029","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/A5111269587","display_name":"Qiang Wan","orcid":"https://orcid.org/0009-0004-5182-6619"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wan","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China,621010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China,621010","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015462564","display_name":"Sanshuai Cui","orcid":"https://orcid.org/0000-0002-4709-5786"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Sanshuai Cui","raw_affiliation_strings":["City University of Macau,Macau,China,999078"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Macau,Macau,China,999078","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014092332","display_name":"Anjie Peng","orcid":"https://orcid.org/0000-0001-9287-7536"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjie Peng","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China,621010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China,621010","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021251327","display_name":"Hui Zeng","orcid":"https://orcid.org/0000-0002-3776-4309"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zeng","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China,621010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China,621010","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101840404","display_name":"Rong Wei","orcid":"https://orcid.org/0000-0003-2846-4061"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Wei","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,China,621010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,China,621010","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14897008,"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":0.9930999875068665,"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":0.9930999875068665,"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":0.0017000000225380063,"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":0.0013000000035390258,"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":0.9043999910354614},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.6865000128746033},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6304000020027161},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.45890000462532043},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4081999957561493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3610000014305115},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33149999380111694},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.328000009059906}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9043999910354614},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.6865000128746033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626999974250793},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6304000020027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878999829292297},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.45890000462532043},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38109999895095825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2863999903202057},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2639000117778778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209029","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/F4320329883","display_name":"Guangdong Province Key Laboratory of Information Security Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2962847335","https://openalex.org/W2963384482","https://openalex.org/W2963446712","https://openalex.org/W2963542245","https://openalex.org/W2969542116","https://openalex.org/W3034190247","https://openalex.org/W3127807678","https://openalex.org/W3171288285","https://openalex.org/W4214634256","https://openalex.org/W4214636423","https://openalex.org/W4312648479","https://openalex.org/W4386076570","https://openalex.org/W4390871946","https://openalex.org/W4393154441","https://openalex.org/W4402754002","https://openalex.org/W4411244506"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"are":[4,11,113],"susceptible":[5],"to":[6,17,68,107,115],"adversarial":[7,23,85],"examples":[8],"(AEs),":[9],"which":[10,47],"crafted":[12],"by":[13,97],"adding":[14],"human-imperceptible":[15],"perturbations":[16,100],"benign":[18],"images.":[19],"Although":[20],"many":[21],"existing":[22,43,141],"attacks":[24],"have":[25],"achieved":[26],"great":[27],"surrogate,":[28],"white-box":[29],"model":[30],"attack":[31,80],"performance,":[32],"they":[33],"exhibit":[34],"low":[35],"transferability.":[36],"In":[37],"this":[38],"work,":[39],"we":[40,76],"emphasize":[41],"that":[42,112,131],"input":[44,51,65,105],"transformation-based":[45],"attacks,":[46],"linearly":[48],"mix":[49],"the":[50,74,91,94,116],"image":[52],"with":[53,140],"images":[54],"from":[55],"other":[56],"categories,":[57],"induce":[58],"significant":[59],"semantic":[60],"shifts":[61],"and":[62,136],"lack":[63],"sufficient":[64],"diversity,":[66],"leading":[67],"inaccurate":[69],"update":[70],"directions.":[71],"To":[72],"overcome":[73],"pitfall,":[75],"propose":[77],"a":[78],"new":[79],"method":[81],"for":[82,119],"constructing":[83],"multiple":[84,109],"trajectories":[86],"(MAT).":[87],"Specifically,":[88],"MAT":[89,132],"achieves":[90],"intent":[92],"of":[93,102],"mixing":[95],"strategy":[96],"introducing":[98],"targeted":[99],"instead":[101],"relying":[103],"on":[104],"transformation":[106],"obtain":[108],"data":[110],"points":[111],"closer":[114],"decision":[117],"boundary":[118],"gradient":[120],"computation.":[121],"Comprehensive":[122],"experiments":[123],"demonstrate":[124],"our":[125],"method\u2019s":[126],"effectiveness.":[127],"We":[128],"also":[129],"show":[130],"is":[133,145],"highly":[134],"flexible":[135],"can":[137],"seamlessly":[138],"integrate":[139],"transfer":[142],"methods.":[143],"Code":[144],"available":[146],"at:":[147],"github.com/britney-code/MAT-Attack.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-30T00:00:00"}