{"id":"https://openalex.org/W4415541145","doi":"https://doi.org/10.1145/3746027.3755264","title":"MADPHash: Manipulation-Aware Deep Perceptual Hashing using Feature Consistency","display_name":"MADPHash: Manipulation-Aware Deep Perceptual Hashing using Feature Consistency","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415541145","doi":"https://doi.org/10.1145/3746027.3755264"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755264","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755264","pdf_url":null,"source":null,"license":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102811222","display_name":"Lizhi Xiong","orcid":"https://orcid.org/0000-0003-1604-7690"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lizhi Xiong","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091310243","display_name":"Peipeng Yu","orcid":"https://orcid.org/0000-0003-0056-4300"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipeng Yu","raw_affiliation_strings":["College of Cyber Security, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Cyber Security, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103051778","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0003-2108-7910"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102811222"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32702996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8038","last_page":"8047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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/robustness","display_name":"Robustness (evolution)","score":0.7305999994277954},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7253999710083008},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6710000038146973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5680999755859375},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5436999797821045},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5038999915122986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4480000138282776},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4284999966621399}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7305999994277954},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7253999710083008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193999886512756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074999809265137},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6710000038146973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5680999755859375},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4480000138282776},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4284999966621399},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.33980000019073486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29260000586509705},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2736999988555908},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.2556999921798706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755264","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755264","pdf_url":null,"source":null,"license":null,"license_id":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2018669697","https://openalex.org/W2518397542","https://openalex.org/W2521425563","https://openalex.org/W2895347732","https://openalex.org/W2912648825","https://openalex.org/W2964146055","https://openalex.org/W2964309882","https://openalex.org/W3011627415","https://openalex.org/W3032940867","https://openalex.org/W3089867232","https://openalex.org/W3103274662","https://openalex.org/W3117076822","https://openalex.org/W3158353280","https://openalex.org/W3197106219","https://openalex.org/W4205605731","https://openalex.org/W4210350273","https://openalex.org/W4214680478","https://openalex.org/W4285191290","https://openalex.org/W4294770674","https://openalex.org/W4311623198","https://openalex.org/W4312981036","https://openalex.org/W4376639597","https://openalex.org/W4378473107","https://openalex.org/W4380370856","https://openalex.org/W4383200214","https://openalex.org/W4385267516","https://openalex.org/W4386076215","https://openalex.org/W4393147884","https://openalex.org/W4396712913","https://openalex.org/W4399418583","https://openalex.org/W4402715936","https://openalex.org/W4402716358","https://openalex.org/W4405181091","https://openalex.org/W4405229107","https://openalex.org/W4407362110"],"related_works":[],"abstract_inverted_index":{"Perceptual":[0,42],"hashing":[1,117],"has":[2],"garnered":[3],"significant":[4],"attention":[5],"for":[6],"its":[7],"wide-ranging":[8],"applications":[9],"in":[10],"image":[11],"retrieval":[12],"and":[13,76,87],"authentication":[14],"domains.":[15],"However,":[16],"existing":[17],"algorithms":[18],"often":[19],"struggle":[20],"to":[21,26,49,52,82],"detect":[22],"subtle":[23,54,105],"manipulations":[24,106],"confined":[25],"small":[27],"regions":[28],"of":[29,104],"an":[30],"image.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"introduce":[36],"a":[37,62,66,78],"novel":[38],"framework,":[39],"Manipulation-Aware":[40],"Deep":[41],"Hashing":[43],"(MADPHash),":[44],"which":[45],"leverages":[46],"feature":[47],"consistency":[48],"enhance":[50],"sensitivity":[51],"such":[53],"manipulations.":[55],"MADPHash":[56,99],"explicitly":[57],"treats":[58],"tampered":[59,86],"images":[60],"as":[61],"distinct":[63],"category,":[64],"incorporates":[65],"tampering":[67],"detection":[68,103],"objective":[69],"into":[70],"the":[71,102],"perceptual":[72,116],"hash":[73],"generation":[74],"process,":[75],"employs":[77],"Consistency":[79],"Constraint":[80],"Module":[81],"amplify":[83],"discrepancies":[84],"between":[85],"untampered":[88],"regions.":[89],"Comprehensive":[90],"experiments":[91],"conducted":[92],"on":[93],"five":[94],"benchmark":[95],"datasets":[96],"demonstrate":[97],"that":[98],"significantly":[100],"improves":[101],"while":[107],"maintaining":[108],"robustness":[109],"against":[110],"content-preserving":[111],"transformations,":[112],"outperforming":[113],"several":[114],"state-of-the-art":[115],"methods.":[118]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-25T00:00:00"}