{"id":"https://openalex.org/W4407574749","doi":"https://doi.org/10.1109/tdsc.2025.3542092","title":"CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning","display_name":"CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning","publication_year":2025,"publication_date":"2025-02-14","ids":{"openalex":"https://openalex.org/W4407574749","doi":"https://doi.org/10.1109/tdsc.2025.3542092"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3542092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3542092","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5101907050","display_name":"Weiqi Wang","orcid":"https://orcid.org/0000-0002-7905-3126"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weiqi Wang","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7905-3126","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061304518","display_name":"Chenhan Zhang","orcid":"https://orcid.org/0000-0002-2352-0485"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chenhan Zhang","raw_affiliation_strings":["Macquarie University, Sydney, NSW, Australia","Postdoctoral Research Fellow, Macquarie University, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2352-0485","affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Postdoctoral Research Fellow, Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059567156","display_name":"Zhiyi Tian","orcid":"https://orcid.org/0000-0001-8905-0941"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyi Tian","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8905-0941","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400845","display_name":"Shushu Liu","orcid":"https://orcid.org/0000-0002-1068-9783"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Shushu Liu","raw_affiliation_strings":["Department of Communication and Networking, Aalto University, Espoo, Finland"],"raw_orcid":"https://orcid.org/0000-0002-1068-9783","affiliations":[{"raw_affiliation_string":"Department of Communication and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005228053","display_name":"Shui Yu","orcid":"https://orcid.org/0000-0003-4485-6743"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4485-6743","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.6225,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95115312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"3916","last_page":"3929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9860000014305115,"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":0.9860000014305115,"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":0.9817000031471252,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9642999768257141,"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":0.6965109705924988},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6255679130554199},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.49815988540649414},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.4512079656124115},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4453924298286438},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4229843020439148},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36663782596588135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31360143423080444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965109705924988},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6255679130554199},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.49815988540649414},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.4512079656124115},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4453924298286438},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4229843020439148},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36663782596588135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31360143423080444},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2025.3542092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3542092","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W107619411","https://openalex.org/W1488996941","https://openalex.org/W2148986322","https://openalex.org/W2493977830","https://openalex.org/W2603766943","https://openalex.org/W2683470288","https://openalex.org/W2798724621","https://openalex.org/W2911978475","https://openalex.org/W2917322567","https://openalex.org/W2963844355","https://openalex.org/W2964184826","https://openalex.org/W2988337058","https://openalex.org/W3023153742","https://openalex.org/W3029511006","https://openalex.org/W3124806946","https://openalex.org/W3154155772","https://openalex.org/W3174532363","https://openalex.org/W4221145530","https://openalex.org/W4221158899","https://openalex.org/W4225004701","https://openalex.org/W4283796010","https://openalex.org/W4292260100","https://openalex.org/W4392175274","https://openalex.org/W4402265414","https://openalex.org/W6628547770","https://openalex.org/W6637108112","https://openalex.org/W6640963894","https://openalex.org/W6677919164","https://openalex.org/W6729906282","https://openalex.org/W6733974131","https://openalex.org/W6743688258","https://openalex.org/W6760759230","https://openalex.org/W6769833289","https://openalex.org/W6784265177","https://openalex.org/W6787972765","https://openalex.org/W6791907524","https://openalex.org/W6810178482"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W3123987581","https://openalex.org/W2358406440","https://openalex.org/W2352435628","https://openalex.org/W3175365978"],"abstract_inverted_index":{"Machine":[0],"unlearning":[1,36,85,162],"allows":[2],"data":[3,12,44,114,170],"owners":[4],"to":[5,31,67,84,87,105,164],"erase":[6],"the":[7,25,39,42,46,54,118,122,132,137,144,166,172,202],"impact":[8],"of":[9,41,139,168,174,213],"their":[10],"specified":[11,43],"from":[13,45],"trained":[14,47,123],"models.":[15],"Unfortunately,":[16],"recent":[17],"studies":[18],"have":[19],"shown":[20],"that":[21,143,150,185,198],"adversaries":[22,151],"can":[23,62,152,187],"recover":[24],"erased":[26,133,169],"data,":[27,134],"posing":[28],"serious":[29],"threats":[30],"user":[32],"privacy.":[33],"An":[34],"effective":[35],"method":[37],"removes":[38],"information":[40,120,128,149],"model,":[48],"resulting":[49],"in":[50],"different":[51],"outputs":[52],"for":[53],"same":[55],"input":[56],"before":[57],"and":[58,75,131,160],"after":[59],"unlearning.":[60,111],"Adversaries":[61],"exploit":[63],"these":[64],"output":[65,146],"differences":[66],"conduct":[68],"privacy":[69,108,191,217],"leakage":[70,109,192],"attacks,":[71],"such":[72],"as":[73],"reconstruction":[74,203,218],"membership":[76],"inference":[77],"attacks.":[78,193],"However,":[79],"directly":[80],"applying":[81],"traditional":[82],"defenses":[83],"leads":[86],"significant":[88],"model":[89],"utility":[90],"degradation.":[91,181],"In":[92],"this":[93],"article,":[94],"we":[95,155],"introduce":[96,156],"a":[97,157,209],"Compressive":[98],"Representation":[99],"Forgetting":[100],"Unlearning":[101],"scheme":[102],"(CRFU),":[103],"designed":[104],"safeguard":[106],"against":[107,190,216],"on":[110,225],"CRFU":[112,186,199],"achieves":[113],"erasure":[115],"by":[116],"minimizing":[117],"mutual":[119],"between":[121],"compressive":[124],"representation":[125],"(learned":[126],"through":[127],"bottleneck":[129],"theory)":[130],"thereby":[135,178],"maximizing":[136],"distortion":[138],"data.":[140],"This":[141],"ensures":[142],"model's":[145],"contains":[147],"less":[148],"exploit.":[153],"Furthermore,":[154],"remembering":[158],"constraint":[159],"an":[161],"rate":[163],"balance":[165],"forgetting":[167],"with":[171,220],"preservation":[173],"previously":[175],"learned":[176],"knowledge,":[177],"reducing":[179],"accuracy":[180,223],"Theoretical":[182],"analysis":[183],"demonstrates":[184],"effectively":[188],"defend":[189],"Our":[194],"experimental":[195],"results":[196],"show":[197],"significantly":[200],"increases":[201],"mean":[204],"square":[205],"error":[206],"(MSE),":[207],"achieving":[208],"defense":[210],"effect":[211],"improvement":[212],"approximately":[214],"200%":[215],"attacks":[219],"only":[221],"1.5%":[222],"degradation":[224],"MNIST.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}