{"id":"https://openalex.org/W2604912164","doi":"https://doi.org/10.1145/3036290.3036301","title":"Image Feature Extraction with Homomorphic Encryption on Integer Vector","display_name":"Image Feature Extraction with Homomorphic Encryption on Integer Vector","publication_year":2017,"publication_date":"2017-01-13","ids":{"openalex":"https://openalex.org/W2604912164","doi":"https://doi.org/10.1145/3036290.3036301","mag":"2604912164"},"language":"en","primary_location":{"id":"doi:10.1145/3036290.3036301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","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/A5037587592","display_name":"Yunfan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunfan Huang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Science and Technology on Communication Security Laboratory, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Science and Technology on Communication Security Laboratory, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048390686","display_name":"Haomiao Yang","orcid":"https://orcid.org/0000-0002-5968-3518"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomiao Yang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Center for Cyber Security, UESTC Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Center for Cyber Security, UESTC Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075117112","display_name":"Mengxi Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengxi Nie","raw_affiliation_strings":["School of Engineering and Applied Science, The George Washington University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, The George Washington University, Chengdu, China","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080499921","display_name":"Honggang Wu","orcid":"https://orcid.org/0000-0002-8953-1013"},"institutions":[{"id":"https://openalex.org/I1299457549","display_name":"Civil Aviation Administration of China","ror":"https://ror.org/05gfwht30","country_code":"CN","type":"government","lineage":["https://openalex.org/I1299457549","https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Wu","raw_affiliation_strings":["The Second Research Institute, Civil Aviation Administration of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"The Second Research Institute, Civil Aviation Administration of China, Chengdu, China","institution_ids":["https://openalex.org/I1299457549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037587592"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02985263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9988999962806702,"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/T10237","display_name":"Cryptography and Data Security","score":0.9988999962806702,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7810171246528625},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7277506589889526},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.7088939547538757},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6744920015335083},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.654772937297821},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5055699348449707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.470353364944458},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47004905343055725},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46304160356521606},{"id":"https://openalex.org/keywords/ciphertext","display_name":"Ciphertext","score":0.45633405447006226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45240384340286255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4312213659286499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39823299646377563},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2572364807128906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13583633303642273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810171246528625},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7277506589889526},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.7088939547538757},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6744920015335083},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.654772937297821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5055699348449707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.470353364944458},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47004905343055725},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46304160356521606},{"id":"https://openalex.org/C93974786","wikidata":"https://www.wikidata.org/wiki/Q1589480","display_name":"Ciphertext","level":3,"score":0.45633405447006226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45240384340286255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4312213659286499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39823299646377563},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2572364807128906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13583633303642273},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3036290.3036301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W7530887","https://openalex.org/W1874619058","https://openalex.org/W1973393984","https://openalex.org/W1982306593","https://openalex.org/W1992282993","https://openalex.org/W1999551046","https://openalex.org/W2045284023","https://openalex.org/W2073532855","https://openalex.org/W2105847589","https://openalex.org/W2135074106","https://openalex.org/W2147668280","https://openalex.org/W2167236842","https://openalex.org/W2885113919"],"related_works":["https://openalex.org/W2539930818","https://openalex.org/W4390664647","https://openalex.org/W3012147850","https://openalex.org/W4313300189","https://openalex.org/W2949835517","https://openalex.org/W2947510282","https://openalex.org/W2363701519","https://openalex.org/W2601739120","https://openalex.org/W2292786713","https://openalex.org/W3212491810"],"abstract_inverted_index":{"With":[0],"the":[1,19,27,30,55,70,75,79,83,99,102,105,127,142,147,164,169],"amount":[2],"of":[3,29,32,61,86,104,151,168,171],"user-contributed":[4],"image":[5,42,80,119,148],"data":[6],"increasing,":[7],"it":[8],"is":[9,110],"a":[10,47,114,125],"potential":[11],"threat":[12],"for":[13,49,78,121],"users":[14],"that":[15],"everyone":[16],"may":[17],"have":[18],"access":[20,100],"to":[21,45,101,112],"gain":[22],"privacy":[23,103],"information.":[24],"To":[25],"reduce":[26],"possibility":[28],"loss":[31],"real":[33],"information,":[34],"this":[35,53],"paper":[36],"combines":[37],"homomorphic":[38],"encryption":[39,173],"scheme":[40],"and":[41,74],"feature":[43,87,120,144],"extraction":[44,88,108],"provide":[46],"guarantee":[48],"users'":[50],"privacy.":[51],"In":[52],"paper,":[54],"whole":[56],"system":[57],"model":[58],"mainly":[59],"consists":[60],"three":[62],"parts,":[63],"including":[64],"social":[65],"network":[66],"service":[67],"providers":[68],"(SP),":[69],"Interested":[71],"party":[72],"(IP)":[73],"applications.":[76],"Except":[77],"preprocessing":[81],"phase,":[82],"main":[84],"operations":[85],"are":[89],"conducted":[90,161],"in":[91,134,137],"ciphertext":[92],"domain,":[93],"which":[94],"means":[95],"only":[96],"SP":[97],"has":[98],"users.":[106],"The":[107],"algorithm":[109],"used":[111],"obtain":[113],"multi-dimensional":[115],"histogram":[116,128],"descriptor":[117,129],"as":[118],"each":[122],"image.":[123],"As":[124],"result,":[126],"can":[130,145,159],"be":[131,160],"extracted":[132,143],"correctly":[133],"encrypted":[135,165],"domain":[136],"an":[138],"acceptable":[139],"time.":[140],"Besides,":[141],"represent":[146],"effectively":[149],"because":[150,167],"relatively":[152],"high":[153],"accuracy.":[154],"Additionally,":[155],"many":[156],"different":[157],"applications":[158],"by":[162],"using":[163],"features":[166],"support":[170],"our":[172],"scheme.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}