{"id":"https://openalex.org/W4400222471","doi":"https://doi.org/10.48550/arxiv.2406.19642","title":"IDT: Dual-Task Adversarial Attacks for Privacy Protection","display_name":"IDT: Dual-Task Adversarial Attacks for Privacy Protection","publication_year":2024,"publication_date":"2024-06-28","ids":{"openalex":"https://openalex.org/W4400222471","doi":"https://doi.org/10.48550/arxiv.2406.19642"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2406.19642","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.19642","pdf_url":"https://arxiv.org/pdf/2406.19642","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.19642","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017525867","display_name":"Pedro Faustini","orcid":"https://orcid.org/0000-0002-9961-1252"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Faustini, Pedro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038677490","display_name":"Shakila Mahjabin Tonni","orcid":"https://orcid.org/0000-0002-2373-9911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tonni, Shakila Mahjabin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035107880","display_name":"Annabelle McIver","orcid":"https://orcid.org/0000-0002-2405-9838"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McIver, Annabelle","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036737229","display_name":"Qiongkai Xu","orcid":"https://orcid.org/0000-0003-3312-6825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Qiongkai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022216838","display_name":"Mark Dras","orcid":"https://orcid.org/0000-0001-9908-7182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dras, Mark","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017525867"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9914000034332275,"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":0.9914000034332275,"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/T11424","display_name":"Security and Verification in Computing","score":0.989300012588501,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7950118184089661},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.7486727237701416},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.6987184882164001},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.68388831615448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913335680961609},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5813307166099548},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4736127555370331},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14084312319755554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12849903106689453},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.057994544506073}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7950118184089661},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.7486727237701416},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.6987184882164001},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.68388831615448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913335680961609},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5813307166099548},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4736127555370331},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14084312319755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12849903106689453},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.057994544506073},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2406.19642","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.19642","pdf_url":"https://arxiv.org/pdf/2406.19642","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2406.19642","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2406.19642","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.19642","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.19642","pdf_url":"https://arxiv.org/pdf/2406.19642","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400222471.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W2953707841","https://openalex.org/W1496791764","https://openalex.org/W4318485713","https://openalex.org/W2740319091","https://openalex.org/W1979950616","https://openalex.org/W4225340788","https://openalex.org/W33899462","https://openalex.org/W1409448914"],"abstract_inverted_index":{"Natural":[0],"language":[1],"processing":[2],"(NLP)":[3],"models":[4,44,79,204],"may":[5,22],"leak":[6],"private":[7],"information":[8,21],"in":[9,26,31,57],"different":[10,143,229,235],"ways,":[11],"including":[12],"membership":[13],"inference,":[14],"reconstruction":[15],"or":[16,53,105,149],"attribute":[17,98],"inference":[18],"attacks.":[19],"Sensitive":[20],"not":[23,48,62],"be":[24,221],"explicit":[25],"the":[27,66,75,100,103,109,114,122,146,180,214,224,245],"text,":[28,248],"but":[29],"hidden":[30],"underlying":[32],"writing":[33,110],"characteristics.":[34],"Methods":[35],"to":[36,49,83,88,91,166,170,205,211],"protect":[37],"privacy":[38,215,259],"can":[39,80],"involve":[40],"using":[41],"representations":[42],"inside":[43],"that":[45,196,242],"are":[46,209],"demonstrated":[47],"detect":[50],"sensitive":[51,97],"attributes":[52],"--":[54,73],"for":[55,117,186,213,223,231,234],"instance,":[56],"cases":[58],"where":[59],"users":[60],"might":[61],"trust":[63],"a":[64,96,125,159,168,172,194,256],"model,":[65],"sort":[67],"of":[68,70,102,124,162,182,247],"scenario":[69],"interest":[71],"here":[72],"changing":[74],"raw":[76],"text":[77,90,115,169],"before":[78],"have":[81,133],"access":[82],"it.":[84],"The":[85,128],"goal":[86],"is":[87],"rewrite":[89],"prevent":[92],"someone":[93],"from":[94,145],"inferring":[95],"(e.g.":[99,121],"gender":[101],"author,":[104],"their":[106],"location":[107],"by":[108,200],"style)":[111],"whilst":[112,178],"keeping":[113,179],"useful":[116],"its":[118],"original":[119,147],"intention":[120],"sentiment":[123],"product":[126],"review).":[127],"few":[129],"works":[130],"tackling":[131],"this":[132],"focused":[134],"on":[135],"generative":[136],"techniques.":[137],"However,":[138],"these":[139],"often":[140],"create":[141],"extensively":[142],"texts":[144],"ones":[148,219],"face":[150],"problems":[151],"such":[152],"as":[153],"mode":[154],"collapse.":[155],"This":[156],"paper":[157],"explores":[158],"novel":[160],"adaptation":[161],"adversarial":[163],"attack":[164],"techniques":[165],"manipulate":[167],"deceive":[171],"classifier":[173,184,257],"w.r.t":[174,258],"one":[175],"task":[176,188],"(privacy)":[177],"predictions":[181,198],"another":[183,187],"trained":[185],"(utility)":[189],"unchanged.":[190],"We":[191,227],"propose":[192],"IDT,":[193],"method":[195],"analyses":[197],"made":[199],"auxiliary":[201],"and":[202,217,238],"interpretable":[203],"identify":[206],"which":[207,218],"tokens":[208],"important":[210],"change":[212],"task,":[216],"should":[220],"kept":[222],"utility":[225,246],"task.":[226,260],"evaluate":[228],"datasets":[230],"NLP":[232],"suitable":[233],"tasks.":[236],"Automatic":[237],"human":[239],"evaluations":[240],"show":[241],"IDT":[243],"retains":[244],"while":[249],"also":[250],"outperforming":[251],"existing":[252],"methods":[253],"when":[254],"deceiving":[255]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}