{"id":"https://openalex.org/W4285600276","doi":"https://doi.org/10.24963/ijcai.2022/233","title":"Enhancing the Transferability of Adversarial Examples with Random Patch","display_name":"Enhancing the Transferability of Adversarial Examples with Random Patch","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285600276","doi":"https://doi.org/10.24963/ijcai.2022/233"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/233","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/233","pdf_url":"https://www.ijcai.org/proceedings/2022/0233.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2022/0233.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047829642","display_name":"Yaoyuan Zhang","orcid":"https://orcid.org/0000-0003-3732-0115"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoyuan Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003198271","display_name":"Yu\u2010an Tan","orcid":"https://orcid.org/0000-0001-6404-8853"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-an Tan","raw_affiliation_strings":["School of Cyberspace Science and Technology, Beijing Institute of Technology","School of Cyberspace Science and Technology, Beijing Institute of Technology {yaoyuan, tan2008, chentian20, 3220200923,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology {yaoyuan, tan2008, chentian20, 3220200923,","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039200178","display_name":"Tian Chen","orcid":"https://orcid.org/0000-0003-1655-5249"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Chen","raw_affiliation_strings":["School of Cyberspace Science and Technology, Beijing Institute of Technology","School of Cyberspace Science and Technology, Beijing Institute of Technology {yaoyuan, tan2008, chentian20, 3220200923,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology {yaoyuan, tan2008, chentian20, 3220200923,","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601997","display_name":"Xinrui Liu","orcid":"https://orcid.org/0000-0002-6929-4620"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrui Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017675981","display_name":"Quanxin Zhang","orcid":"https://orcid.org/0000-0002-5094-7388"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026287089","display_name":"Yuanzhang Li","orcid":"https://orcid.org/0000-0002-1931-366X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhang Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047829642"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":4.892,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96224228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1672","last_page":"1678"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9259999990463257,"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":0.9208999872207642,"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":0.8890074491500854},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.8851958513259888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475669980049133},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6452574729919434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453944802284241},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4904429614543915},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4834631085395813},{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.42957356572151184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.425388902425766},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.1634240448474884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15536972880363464},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12979701161384583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06912210583686829}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8890074491500854},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.8851958513259888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475669980049133},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6452574729919434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453944802284241},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4904429614543915},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4834631085395813},{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.42957356572151184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.425388902425766},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.1634240448474884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15536972880363464},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12979701161384583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06912210583686829},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":1,"locations":[{"id":"doi:10.24963/ijcai.2022/233","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/233","pdf_url":"https://www.ijcai.org/proceedings/2022/0233.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/233","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/233","pdf_url":"https://www.ijcai.org/proceedings/2022/0233.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3814875541","display_name":null,"funder_award_id":"U1936218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6454313764","display_name":null,"funder_award_id":"62072037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7580715247","display_name":null,"funder_award_id":"61876019","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285600276.pdf","grobid_xml":"https://content.openalex.org/works/W4285600276.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1915485278","https://openalex.org/W1945616565","https://openalex.org/W2183341477","https://openalex.org/W2302255633","https://openalex.org/W2570685808","https://openalex.org/W2774644650","https://openalex.org/W2896078964","https://openalex.org/W2962847335","https://openalex.org/W2963062382","https://openalex.org/W2963389226","https://openalex.org/W2963744840","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2984699060","https://openalex.org/W2991496458","https://openalex.org/W3108341030","https://openalex.org/W3127807678","https://openalex.org/W3138516171","https://openalex.org/W3143373604","https://openalex.org/W3170874841","https://openalex.org/W3177184533","https://openalex.org/W3186991201","https://openalex.org/W3187541268","https://openalex.org/W4214634256","https://openalex.org/W4214636423","https://openalex.org/W4288359148"],"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/W4403006689"],"abstract_inverted_index":{"Adversarial":[0],"examples":[1,50,113],"can":[2],"fool":[3],"deep":[4],"learning":[5],"models,":[6,149,153],"and":[7,154,167],"their":[8],"transferability":[9,47,116],"is":[10],"critical":[11],"for":[12],"attacking":[13],"black-box":[14,140],"models":[15],"in":[16,91],"real-world":[17],"scenarios.":[18],"Existing":[19],"state-of-the-art":[20,133],"transferable":[21,134],"adversarial":[22,33,49,112],"attacks":[23,137],"tend":[24],"to":[25,31,43,70,73,105,131],"exploit":[26],"intrinsic":[27,60],"features":[28,61,79,102],"of":[29,48,62,114,126,164],"objects":[30],"generate":[32],"examples.":[34],"This":[35],"paper":[36],"proposes":[37],"the":[38,46,52,84,107,111,124,127,132,139],"Random":[39],"Patch":[40],"Attack":[41],"(RPA)":[42],"significantly":[44],"improve":[45,138],"by":[51,144],"patch-wise":[53],"random":[54,67],"transformation":[55],"that":[56],"effectively":[57],"highlights":[58],"important":[59],"objects.":[63],"Specifically,":[64],"we":[65],"introduce":[66],"patch":[68],"transformations":[69,93],"original":[71],"images":[72,86],"variate":[74],"model-specific":[75,95],"features.":[76],"Important":[77],"object-related":[78,108],"are":[80,97],"preserved":[81],"after":[82],"aggregating":[83],"transformed":[85],"since":[87],"they":[88],"stay":[89],"consistent":[90],"multiple":[92],"while":[94],"elements":[96],"neutralized.":[98],"The":[99],"obtained":[100],"essential":[101],"steer":[103],"noises":[104],"perturb":[106],"regions,":[109],"generating":[110],"superior":[115],"across":[117],"different":[118],"models.":[119],"Extensive":[120],"experimental":[121],"results":[122],"demonstrate":[123],"effectiveness":[125],"proposed":[128],"RPA.":[129],"Compared":[130],"attacks,":[135],"our":[136],"attack":[141],"success":[142],"rate":[143],"2.9\\%":[145],"against":[146,151,156],"normally":[147],"trained":[148],"4.7\\%":[150],"defense":[152],"4.6\\%":[155],"vision":[157],"transformers":[158],"on":[159],"average,":[160],"reaching":[161],"a":[162],"maximum":[163],"99.1\\%,":[165],"93.2\\%,":[166],"87.8\\%,":[168],"respectively.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
