{"id":"https://openalex.org/W4415540490","doi":"https://doi.org/10.1145/3746027.3761985","title":"A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement","display_name":"A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540490","doi":"https://doi.org/10.1145/3746027.3761985"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3761985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3761985","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746027.3761985","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041853664","display_name":"Gaozheng Pei","orcid":"https://orcid.org/0009-0006-9004-9271"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Gaozheng Pei","raw_affiliation_strings":["EECE, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EECE, UCAS, Beijing, China","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646256","display_name":"Ke Ma","orcid":"https://orcid.org/0000-0003-4178-0907"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Ke Ma","raw_affiliation_strings":["EECE, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EECE, UCAS, Beijing, China","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030685423","display_name":"Dongpeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Dongpeng Zhang","raw_affiliation_strings":["EECE, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EECE, UCAS, Beijing, China","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102205567","display_name":"Chengzhi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Chengzhi Sun","raw_affiliation_strings":["EECE, UCAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EECE, UCAS, Beijing, China","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089092566","display_name":"Qianqian Xu","orcid":"https://orcid.org/0000-0002-3512-7277"},"institutions":[{"id":"https://openalex.org/I4210101410","display_name":"International Centre for Theoretical Physics Asia-Pacific","ror":"https://ror.org/01z2px678","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101410","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Xu","raw_affiliation_strings":["IIP, ICT, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IIP, ICT, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210101410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041273628","display_name":"Qingming Huang","orcid":"https://orcid.org/0009-0003-8680-0278"},"institutions":[{"id":"https://openalex.org/I4210101410","display_name":"International Centre for Theoretical Physics Asia-Pacific","ror":"https://ror.org/01z2px678","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101410","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["SCST, UCAS IIP, ICT, CAS BDKM, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SCST, UCAS IIP, ICT, CAS BDKM, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210101410"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041853664"],"corresponding_institution_ids":["https://openalex.org/I132735039"],"apc_list":null,"apc_paid":null,"fwci":2.6995,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9256218,"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":"13725","last_page":"13729"},"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":0.9889000058174133,"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":0.9704999923706055,"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":0.9422000050544739},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.8676000237464905},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6212999820709229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5857999920845032},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.38830000162124634}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9422000050544739},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.8676000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633000016212463},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6212999820709229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5857999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555400013923645},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4521999955177307},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.32089999318122864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.25859999656677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3761985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3761985","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3746027.3761985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3761985","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2603766943","https://openalex.org/W2962847335","https://openalex.org/W2969542116","https://openalex.org/W4206573688","https://openalex.org/W4304701424","https://openalex.org/W4312933868","https://openalex.org/W4320002812","https://openalex.org/W4386076532","https://openalex.org/W4388017359","https://openalex.org/W4403422358","https://openalex.org/W4413146515"],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,21,36,58,60],"their":[2,89],"powerful":[3],"image":[4,13,40,86],"generation":[5,10,84],"capabilities,":[6],"diffusion-based":[7,32],"adversarial":[8,53,82],"example":[9,54,83],"methods":[11,33],"through":[12],"editing":[14],"are":[15,56],"rapidly":[16],"gaining":[17],"popularity.":[18],"However,":[19],"due":[20],"reliance":[22],"on":[23,108],"the":[24,28,104,114,125],"discriminative":[25],"capability":[26],"of":[27,95,116,127],"diffusion":[29,80],"model,":[30],"these":[31,61,65],"often":[34],"struggle":[35],"generalize":[37],"beyond":[38],"conventional":[39],"classification":[41],"tasks,":[42],"such":[43],"as":[44],"in":[45,103,113],"Deepfake":[46,109],"detection.":[47],"Moreover,":[48],"traditional":[49,75],"strategies":[50,78],"for":[51],"enhancing":[52],"transferability":[55,76],"challenging":[57],"adapt":[59],"methods.":[62],"To":[63],"address":[64],"challenges,":[66],"we":[67],"propose":[68],"a":[69,92],"unified":[70],"framework":[71],"that":[72],"seamlessly":[73],"incorporates":[74],"enhancement":[77],"into":[79],"model-based":[81],"via":[85],"editing,":[87],"enabling":[88],"application":[90],"across":[91],"wider":[93],"range":[94],"downstream":[96],"tasks.":[97],"Our":[98],"method":[99],"won":[100],"first":[101],"place":[102],"''1st":[105],"Adversarial":[106],"Attacks":[107],"Detectors:":[110],"A":[111],"Challenge":[112],"Era":[115],"AI-Generated":[117],"Media''":[118],"competition":[119],"at":[120],"ACM":[121],"MM25,":[122],"which":[123],"validates":[124],"effectiveness":[126],"our":[128],"approach.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-25T00:00:00"}
