{"id":"https://openalex.org/W3213149519","doi":"https://doi.org/10.1109/mlsp52302.2021.9596565","title":"Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems","display_name":"Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3213149519","doi":"https://doi.org/10.1109/mlsp52302.2021.9596565","mag":"3213149519"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp52302.2021.9596565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5082427939","display_name":"Vasileios Mygdalis","orcid":"https://orcid.org/0000-0001-5473-5262"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vasileios Mygdalis","raw_affiliation_strings":["Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124"],"affiliations":[{"raw_affiliation_string":"Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124"],"affiliations":[{"raw_affiliation_string":"Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124"],"affiliations":[{"raw_affiliation_string":"Aristotle, University of Thessaloniki,Department of Informatics,Thessaloniki,Greece,54124","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082427939"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.696532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9939000010490417,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9854000210762024,"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/adversarial-system","display_name":"Adversarial system","score":0.8598418831825256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687002778053284},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.5947464108467102},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.5538802146911621},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.517377495765686},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4343797564506531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4146312475204468},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41222256422042847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3434883952140808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3408069312572479},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.24609392881393433}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8598418831825256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687002778053284},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.5947464108467102},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.5538802146911621},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.517377495765686},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4343797564506531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146312475204468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41222256422042847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3434883952140808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3408069312572479},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24609392881393433},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp52302.2021.9596565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2112796928","https://openalex.org/W2117332520","https://openalex.org/W2133665775","https://openalex.org/W2159024459","https://openalex.org/W2166912588","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2408141691","https://openalex.org/W2483458289","https://openalex.org/W2543927648","https://openalex.org/W2741333573","https://openalex.org/W2770975812","https://openalex.org/W2777449390","https://openalex.org/W2893554781","https://openalex.org/W2950468330","https://openalex.org/W2962700793","https://openalex.org/W2963143631","https://openalex.org/W2963163009","https://openalex.org/W2963178695","https://openalex.org/W2963460857","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W2970534682","https://openalex.org/W3004923651","https://openalex.org/W3103557498","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6714069269","https://openalex.org/W6734787559","https://openalex.org/W6747385936","https://openalex.org/W6748475379","https://openalex.org/W6755038706","https://openalex.org/W6785841629"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"The":[0],"network":[1,67],"output":[2,42,68,104],"activation":[3],"values":[4],"for":[5],"a":[6,14,83,127],"given":[7],"input":[8],"can":[9],"be":[10,73],"employed":[11],"to":[12,27],"produce":[13],"sorted":[15,46,105],"ranking.":[16],"Adversarial":[17],"attacks":[18],"typically":[19],"generate":[20],"the":[21,29,41,44,55,66,90,118,121,135,139],"least":[22],"amount":[23],"of":[24,120],"perturbation":[25,38,115,147],"required":[26],"change":[28],"classifier":[30],"label.":[31],"In":[32],"that":[33,51,93,97,134],"sense,":[34],"generated":[35],"adversarial":[36,56,85,95],"attack":[37,86],"only":[39,100],"affects":[40],"in":[43,65],"1st":[45],"ranking":[47,69,106],"position.":[48],"We":[49],"argue":[50],"meaningful":[52],"information":[53],"about":[54],"examples":[57,96],"i.e.,":[58],"their":[59,103],"original":[60],"labels,":[61],"is":[62,124],"still":[63],"encoded":[64],"and":[70],"could":[71],"potentially":[72],"extracted,":[74],"using":[75],"rule-based":[76],"reasoning.":[77],"To":[78],"this":[79],"end,":[80],"we":[81],"introduce":[82],"novel":[84],"methodology":[87],"inspired":[88,142],"by":[89,126,143],"K-anonymity":[91,144],"principles,":[92],"generates":[94],"are":[98],"not":[99],"misclassified,":[101],"but":[102],"spreads":[107],"uniformly":[108],"along":[109],"K":[110],"different":[111],"positions.":[112],"Any":[113],"additional":[114],"arising":[116],"from":[117],"strength":[119],"proposed":[122,136],"objectives,":[123],"regularized":[125],"visual":[128],"similarity-based":[129],"term.":[130],"Experimental":[131],"results":[132],"denote":[133],"approach":[137],"achieves":[138],"optimization":[140],"goals":[141],"with":[145],"reduced":[146],"as":[148],"well.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-11T00:21:10.989143","created_date":"2025-10-10T00:00:00"}