{"id":"https://openalex.org/W4399556857","doi":"https://doi.org/10.1145/3658664.3659645","title":"Exploring Diffusion-Inspired Pixel Predictors for WS Steganalysis","display_name":"Exploring Diffusion-Inspired Pixel Predictors for WS Steganalysis","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4399556857","doi":"https://doi.org/10.1145/3658664.3659645"},"language":"en","primary_location":{"id":"doi:10.1145/3658664.3659645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658664.3659645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ulb-dok.uibk.ac.at/doi/10.1145/3658664.3659645","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037592395","display_name":"Martin Bene\u0161","orcid":"https://orcid.org/0000-0003-0008-7524"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Bene\u0161","raw_affiliation_strings":["University of Innsbruck, Innsbruck, Austria"],"raw_orcid":"https://orcid.org/0000-0003-0008-7524","affiliations":[{"raw_affiliation_string":"University of Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029455813","display_name":"Rainer B\u00f6hme","orcid":"https://orcid.org/0000-0003-4518-6227"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Rainer B\u00f6hme","raw_affiliation_strings":["University of Innsbruck, Innsbruck, Austria"],"raw_orcid":"https://orcid.org/0000-0003-4518-6227","affiliations":[{"raw_affiliation_string":"University of Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I190249584"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9983999729156494,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9768000245094299,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/steganalysis","display_name":"Steganalysis","score":0.972285270690918},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6609712243080139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009188294410706},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5725661516189575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49968552589416504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3977462947368622},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.35912203788757324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19692257046699524},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10265854001045227}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.972285270690918},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6609712243080139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009188294410706},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5725661516189575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49968552589416504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977462947368622},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.35912203788757324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19692257046699524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10265854001045227},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3658664.3659645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658664.3659645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"},{"id":"pmh:oai:ulb-dok.uibk.ac.at/:13264990","is_oa":true,"landing_page_url":"https://ulb-dok.uibk.ac.at/doi/10.1145/3658664.3659645","pdf_url":null,"source":{"id":"https://openalex.org/S4306401999","display_name":"Digital Library of the University of Innsbruck (University of Innsbruck)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143397708","host_organization_name":"Innsbruck Medical University","host_organization_lineage":["https://openalex.org/I143397708"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"BookPart"}],"best_oa_location":{"id":"pmh:oai:ulb-dok.uibk.ac.at/:13264990","is_oa":true,"landing_page_url":"https://ulb-dok.uibk.ac.at/doi/10.1145/3658664.3659645","pdf_url":null,"source":{"id":"https://openalex.org/S4306401999","display_name":"Digital Library of the University of Innsbruck (University of Innsbruck)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143397708","host_organization_name":"Innsbruck Medical University","host_organization_lineage":["https://openalex.org/I143397708"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"BookPart"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1003246362","display_name":null,"funder_award_id":"101021687","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482218439","https://openalex.org/W1973941018","https://openalex.org/W1976570511","https://openalex.org/W2009130368","https://openalex.org/W2027272619","https://openalex.org/W2029400061","https://openalex.org/W2055625960","https://openalex.org/W2104705565","https://openalex.org/W2134527668","https://openalex.org/W2143649846","https://openalex.org/W2170311913","https://openalex.org/W2494922686","https://openalex.org/W2508457857","https://openalex.org/W2798365772","https://openalex.org/W2888338418","https://openalex.org/W2892948265","https://openalex.org/W2908542906","https://openalex.org/W2960934316","https://openalex.org/W3091865411","https://openalex.org/W3096947210","https://openalex.org/W3129492101","https://openalex.org/W3133560326","https://openalex.org/W3142078075","https://openalex.org/W4242717958","https://openalex.org/W4390854640"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W2792878404","https://openalex.org/W3154843532"],"abstract_inverted_index":{"Analytical":[0],"estimators":[1],"of":[2,48,59,89],"the":[3,16,26,36,46,78,106,112,124,127],"steganographic":[4],"change":[5,134],"rate":[6,135],"in":[7,56,123],"images,":[8,105],"such":[9,53],"as":[10,54,73,139],"WS":[11,67,119],"steganalysis,":[12],"often":[13],"operate":[14],"on":[15],"noise":[17],"residual.":[18],"The":[19],"residual":[20],"can":[21],"be":[22],"obtained":[23],"by":[24,118],"estimating":[25],"cover":[27,84],"content":[28],"with":[29,111],"pixel":[30],"predictors":[31],"and":[32,132,148],"subtracting":[33],"it":[34],"from":[35,103],"image":[37,60],"under":[38],"analysis.":[39],"In":[40,62],"recent":[41],"years,":[42],"we":[43,65],"have":[44],"witnessed":[45],"success":[47],"new":[49,153],"deep":[50],"learning-based":[51],"denoisers,":[52],"U-Net,":[55],"various":[57],"fields":[58],"processing.":[61],"this":[63,90],"study,":[64],"revisit":[66],"steganalysis":[68],"using":[69],"a":[70,74,140,152],"U-Net":[71,91],"variant":[72,92],"drop-in":[75],"replacement":[76,157],"for":[77,83,155],"linear":[79],"filters":[80],"originally":[81],"proposed":[82,128],"prediction.":[85],"A":[86],"novel":[87],"property":[88],"is":[93],"its":[94],"hand-crafted":[95],"loss":[96],"function,":[97],"which":[98],"ensures":[99],"that":[100],"when":[101],"predicting":[102],"stego":[104,113],"prediction":[107],"errors":[108],"are":[109],"uncorrelated":[110],"noise,":[114],"an":[115],"assumption":[116],"required":[117],"steganalysis.":[120,158],"Improving":[121],"especially":[122],"textured":[125],"regions,":[126],"predictor":[129],"produces":[130],"accurate":[131],"consistent":[133],"estimates.":[136],"When":[137],"used":[138],"detector,":[141],"our":[142],"model":[143],"significantly":[144],"reduces":[145],"false":[146],"positives":[147],"thus":[149],"potentially":[150],"sets":[151],"baseline":[154],"LSB":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
