{"id":"https://openalex.org/W4381573426","doi":"https://doi.org/10.48550/arxiv.2306.11322","title":"Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance","display_name":"Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381573426","doi":"https://doi.org/10.48550/arxiv.2306.11322"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11322","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2306.11322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680219","display_name":"Haodong Zhang","orcid":"https://orcid.org/0000-0002-8688-0592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Haodong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044410572","display_name":"Chi Man Pun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pun, Chi Man","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111186869","display_name":"Xia Du","orcid":"https://orcid.org/0009-0005-9090-6264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Xia","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9985,"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":0.9985,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9944,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9545,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.938524},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.76446927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.57135},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5203099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46984237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46145356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44615135},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3831293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36887538},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060681224},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11322","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.11322","pdf_url":"http://arxiv.org/pdf/2306.11322","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2306.11322","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11322","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.79,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4310988119","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4246396837","https://openalex.org/W3191453585","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W1561927205"],"abstract_inverted_index":{"Reversible":[0],"adversarial":[1,5,38,65,72,76,127],"examples":[2,77],"(RAE)":[3],"combine":[4],"attacks":[6],"and":[7,49,70],"reversible":[8,37,50,126],"data-hiding":[9],"technology":[10],"on":[11,23],"a":[12,32,42,123],"single":[13],"image":[14],"to":[15,35,62,111],"prevent":[16],"illegal":[17],"access.":[18],"Most":[19],"RAE":[20,58],"studies":[21],"focus":[22],"achieving":[24],"white-box":[25],"attacks.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"novel":[33,43],"framework":[34,81],"generate":[36],"examples,":[39],"which":[40],"combines":[41],"beam":[44,60],"search":[45,61],"based":[46],"black-box":[47,125],"attack":[48,128],"data":[51,86],"hiding":[52],"with":[53,114],"grayscale":[54],"invariance":[55],"(RDH-GI).":[56],"This":[57],"uses":[59],"evaluate":[63],"the":[64,75,80,84,130],"gain":[66],"of":[67,106],"historical":[68],"perturbations":[69],"guide":[71],"perturbations.":[73],"After":[74],"are":[78],"generated,":[79],"RDH-GI":[82],"embeds":[83],"secret":[85],"that":[87,95],"can":[88,98,120],"be":[89],"recovered":[90],"losslessly.":[91],"Experimental":[92],"results":[93],"show":[94],"our":[96],"method":[97,119],"achieve":[99,122],"an":[100],"average":[101],"Peak":[102],"Signal-to-Noise":[103],"Ratio":[104],"(PSNR)":[105],"at":[107],"least":[108],"40dB":[109],"compared":[110],"source":[112],"images":[113],"limited":[115],"query":[116],"budgets.":[117],"Our":[118],"also":[121],"targeted":[124],"for":[129],"first":[131],"time.":[132]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4381573426","counts_by_year":[],"updated_date":"2024-12-20T10:28:54.674543","created_date":"2023-06-22"}