{"id":"https://openalex.org/W4387969331","doi":"https://doi.org/10.1145/3581783.3612364","title":"Precise Target-Oriented Attack against Deep Hashing-based Retrieval","display_name":"Precise Target-Oriented Attack against Deep Hashing-based Retrieval","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969331","doi":"https://doi.org/10.1145/3581783.3612364"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102889081","display_name":"W. G. Will Zhao","orcid":"https://orcid.org/0009-0008-5106-0405"},"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":"Wenshuo Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0008-5106-0405","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036987388","display_name":"Jingkuan Song","orcid":"https://orcid.org/0000-0002-2549-8322"},"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":"Jingkuan Song","raw_affiliation_strings":["University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2549-8322","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004480562","display_name":"Shengming Yuan","orcid":"https://orcid.org/0009-0003-0183-2976"},"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":"Shengming Yuan","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0003-0183-2976","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066645546","display_name":"Lianli Gao","orcid":"https://orcid.org/0000-0002-2522-6394"},"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":"Lianli Gao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2522-6394","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"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":"Yang Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5070-4511","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"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":"Hengtao Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-2088","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6379","last_page":"6389"},"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":0.9988999962806702,"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":0.9988999962806702,"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":0.9977999925613403,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8042069673538208},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.719698429107666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5158650279045105},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4232293963432312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41554075479507446},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41515493392944336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37578365206718445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3611770570278168},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14142030477523804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042069673538208},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.719698429107666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5158650279045105},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4232293963432312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41554075479507446},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41515493392944336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37578365206718445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3611770570278168},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14142030477523804}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2546663186","display_name":null,"funder_award_id":"62020106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G259376912","display_name":null,"funder_award_id":"YYJC012022019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3015758051","display_name":null,"funder_award_id":"2022YFC2009900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6864684409","display_name":null,"funder_award_id":"62122018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7314976618","display_name":"\u878d\u5408\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6df1\u5ea6\u89c6\u89c9\u7406\u89e3\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8027008232","display_name":"\u534f\u540c\u6df1\u5ea6\u89c6\u9891\u7406\u89e3\u3001\u63cf\u8ff0\u548c\u89c6\u89c9\u95ee\u7b54\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8749585922","display_name":null,"funder_award_id":"No. 62122018, No. 62020106008, No. 61772116, No. 61872064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1861492603","https://openalex.org/W2007972815","https://openalex.org/W2155803963","https://openalex.org/W2194775991","https://openalex.org/W2266728343","https://openalex.org/W2464915613","https://openalex.org/W2618530766","https://openalex.org/W2774644650","https://openalex.org/W2890032859","https://openalex.org/W2953271441","https://openalex.org/W2963857521","https://openalex.org/W2964280870","https://openalex.org/W2966218308","https://openalex.org/W2990519439","https://openalex.org/W3009756253","https://openalex.org/W3034239448","https://openalex.org/W3034941949","https://openalex.org/W3035305184","https://openalex.org/W3108341030","https://openalex.org/W3108980562","https://openalex.org/W3155075829","https://openalex.org/W3175311435","https://openalex.org/W3175328093","https://openalex.org/W3198892687","https://openalex.org/W3200993057","https://openalex.org/W3206937959","https://openalex.org/W4294409011","https://openalex.org/W4303449841","https://openalex.org/W4304091674","https://openalex.org/W4312648479","https://openalex.org/W4312692109","https://openalex.org/W6600577311","https://openalex.org/W6601499307","https://openalex.org/W6603054696","https://openalex.org/W6629956336"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Deep":[0],"hashing":[1,21,41],"has":[2,25],"been":[3,26],"widely":[4],"applied":[5],"in":[6,56,151],"large-scale":[7],"image":[8],"retrieval":[9],"due":[10],"to":[11,22,29,43,84,122],"its":[12],"powerful":[13],"computational":[14],"efficiency.":[15],"Nevertheless,":[16],"the":[17,86,96,109,124,134,145],"vulnerability":[18],"of":[19,88,126,133],"deep":[20,40],"adversarial":[23,127],"examples":[24,128],"revealed,":[27],"particularly":[28],"targeted":[30,36,90],"attacks":[31],"with":[32,159],"stronger":[33,139],"manipulability.":[34],"Existing":[35],"attack":[37,55],"methods":[38],"for":[39,54,105],"default":[42],"selecting":[44],"target":[45,69,98,103,156],"labels":[46],"from":[47],"random":[48],"images,":[49],"usually":[50],"encompassing":[51],"multiple":[52],"classes":[53],"multi-label":[57],"datasets.":[58],"However,":[59],"they":[60],"exhabit":[61],"poor":[62],"performance":[63,150],"when":[64],"facing":[65],"a":[66,77,130],"preciser":[67,101],"single":[68,102,155],"label":[70,99,104,157],"selection.":[71],"In":[72],"this":[73],"work,":[74],"we":[75,93,113],"propose":[76],"novel":[78],"Precise":[79],"Target-Oriented":[80],"Attack":[81],"dubbed":[82],"PTA,":[83],"enhance":[85],"precision":[87],"such":[89],"attacks.":[91],"Specifically,":[92],"further":[94],"categorize":[95],"general":[97,153],"into":[100],"attack.":[106],"By":[107],"relaxing":[108],"non-differentiable":[110],"indicator":[111],"function,":[112],"directly":[114],"adopt":[115],"Average":[116],"Precision":[117],"(AP)":[118],"as":[119],"optimization":[120],"objective":[121],"guide":[123],"generation":[125],"on":[129],"small":[131],"subset":[132],"entire":[135],"database,":[136],"thus":[137],"achieving":[138],"precision.":[140],"Extensive":[141],"experiments":[142],"demonstrate":[143],"that":[144],"proposed":[146],"PTA":[147],"achieves":[148],"state-of-the-art":[149],"both":[152],"and":[154,162],"selection,":[158],"superior":[160],"transferability":[161],"universality.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}