{"id":"https://openalex.org/W4386081609","doi":"https://doi.org/10.1145/3581783.3612070","title":"Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer","display_name":"Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4386081609","doi":"https://doi.org/10.1145/3581783.3612070"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.10601","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101417184","display_name":"Zhijin Ge","orcid":"https://orcid.org/0009-0000-3471-2629"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijin Ge","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067858777","display_name":"Fanhua Shang","orcid":"https://orcid.org/0000-0002-1040-352X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanhua Shang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757721","display_name":"Hongying Liu","orcid":"https://orcid.org/0000-0001-5961-5569"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Liu","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405030","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0001-8646-8533"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Liu","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605898","display_name":"Liang Wan","orcid":"https://orcid.org/0000-0003-4368-3422"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wan","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721881","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-3809-1086"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043939765","display_name":"Xiaosen Wang","orcid":"https://orcid.org/0000-0002-1579-8778"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosen Wang","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101417184"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.8022,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94661516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4440","last_page":"4449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9240999817848206,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9156000018119812,"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/computer-science","display_name":"Computer science","score":0.8114120960235596},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6229898929595947},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5896801352500916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549418330192566},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5003447532653809},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4820476472377777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46482542157173157},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4605153799057007},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.45708537101745605},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4552021622657776},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4298325181007385},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.4216836988925934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4024026691913605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34584730863571167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114120960235596},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6229898929595947},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5896801352500916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549418330192566},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5003447532653809},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4820476472377777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46482542157173157},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4605153799057007},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45708537101745605},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4552021622657776},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4298325181007385},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.4216836988925934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4024026691913605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34584730863571167},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3612070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.10601","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.10601","pdf_url":"https://arxiv.org/pdf/2308.10601","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.10601","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.10601","pdf_url":"https://arxiv.org/pdf/2308.10601","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2273983521","display_name":null,"funder_award_id":"6227071567","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3704551478","display_name":null,"funder_award_id":"62072334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6936481620","display_name":null,"funder_award_id":"61976164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7186564784","display_name":null,"funder_award_id":"62072334,61976164,6227071567","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386081609.pdf"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2163345210","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2299668505","https://openalex.org/W2475287302","https://openalex.org/W2535873859","https://openalex.org/W2545656684","https://openalex.org/W2570685808","https://openalex.org/W2603777577","https://openalex.org/W2607219512","https://openalex.org/W2618530766","https://openalex.org/W2746600820","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2796402180","https://openalex.org/W2892269335","https://openalex.org/W2943047381","https://openalex.org/W2950048339","https://openalex.org/W2953226914","https://openalex.org/W2953937638","https://openalex.org/W2958360136","https://openalex.org/W2962847335","https://openalex.org/W2963001136","https://openalex.org/W2963070423","https://openalex.org/W2963542245","https://openalex.org/W2963744840","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2969772318","https://openalex.org/W2976752987","https://openalex.org/W2998712190","https://openalex.org/W3011702533","https://openalex.org/W3034190247","https://openalex.org/W3102178346","https://openalex.org/W3102720581","https://openalex.org/W3106412272","https://openalex.org/W3127807678","https://openalex.org/W3136429007","https://openalex.org/W3142917731","https://openalex.org/W3171288285","https://openalex.org/W3171873561","https://openalex.org/W3205547207","https://openalex.org/W4214480085","https://openalex.org/W4221158957","https://openalex.org/W4225859735","https://openalex.org/W4226378932","https://openalex.org/W4287363638","https://openalex.org/W4289550922","https://openalex.org/W4293846201","https://openalex.org/W4297749385","https://openalex.org/W4299518610","https://openalex.org/W4312376326","https://openalex.org/W4312648479","https://openalex.org/W4381827123","https://openalex.org/W4386076570","https://openalex.org/W4387148101","https://openalex.org/W4390871946","https://openalex.org/W4394665857","https://openalex.org/W6600577311"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W2997056298"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"are":[3],"vulnerable":[4],"to":[5,44,87,141,180],"adversarial":[6,46,204],"examples":[7],"crafted":[8],"by":[9,82,173],"applying":[10],"human-imperceptible":[11],"perturbations":[12],"on":[13,191,206],"clean":[14],"inputs.":[15],"Although":[16],"many":[17],"attack":[18,126],"methods":[19,40],"can":[20,104,200],"achieve":[21],"high":[22],"success":[23],"rates":[24],"in":[25,34,48,75,112],"the":[26,35,50,56,72,76,90,93,106,143,157,162,169,177,192,203],"white-box":[27],"setting,":[28],"they":[29],"also":[30],"exhibit":[31],"weak":[32],"transferability":[33,91,205],"black-box":[36],"setting.":[37],"Recently,":[38],"various":[39],"have":[41],"been":[42],"proposed":[43,136,198],"improve":[45,89,202],"transferability,":[47],"which":[49],"input":[51,67,186,217],"transformation":[52],"is":[53,221],"one":[54],"of":[55,108,153],"most":[57],"effective":[58],"methods.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,85,122,160],"notice":[64],"that":[65,133,196],"existing":[66],"transformation-based":[68,218],"works":[69],"mainly":[70],"adopt":[71],"transformed":[73],"data":[74,94],"same":[77],"domain":[78,83],"for":[79,119,156],"augmentation.":[80],"Inspired":[81],"generalization,":[84],"aim":[86],"further":[88],"using":[92],"augmented":[95],"from":[96],"different":[97,146],"domains.":[98,147],"Specifically,":[99],"a":[100,124,135],"style":[101,138,163],"transfer":[102,139,164],"network":[103,140,165],"alter":[105],"distribution":[107],"low-level":[109],"visual":[110],"features":[111],"an":[113],"image":[114],"while":[115],"preserving":[116],"semantic":[117,151,182],"content":[118],"humans.":[120],"Hence,":[121],"propose":[123],"novel":[125],"method":[127,199],"named":[128],"Style":[129],"Transfer":[130],"Method":[131],"(STM)":[132],"utilizes":[134],"arbitrary":[137],"transform":[142],"images":[144,155,171,179],"into":[145],"To":[148],"avoid":[149],"inconsistent":[150],"information":[152],"stylized":[154],"classification":[158],"network,":[159],"fine-tune":[161],"and":[166,184],"mix":[167],"up":[168],"generated":[170],"added":[172],"random":[174],"noise":[175],"with":[176],"original":[178],"maintain":[181],"consistency":[183],"boost":[185],"diversity.":[187],"Extensive":[188],"experimental":[189],"results":[190],"ImageNet-compatible":[193],"dataset":[194],"show":[195],"our":[197],"significantly":[201],"either":[207],"normally":[208],"trained":[209,213],"models":[210,214],"or":[211],"adversarially":[212],"than":[215],"state-of-the-art":[216],"attacks.":[219],"Code":[220],"available":[222],"at:":[223],"https://github.com/Zhijin-Ge/STM.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-08-23T00:00:00"}