{"id":"https://openalex.org/W7164996708","doi":"https://doi.org/10.48550/arxiv.2606.17462","title":"ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation","display_name":"ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7164996708","doi":"https://doi.org/10.48550/arxiv.2606.17462"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.17462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17462","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.17462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012738396","display_name":"Chongru Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Chongru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138776776","display_name":"Wei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102688813","display_name":"W E I-Xing Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Wentao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043207623","display_name":"Zhenquan Ding","orcid":"https://orcid.org/0000-0002-8449-6140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Zhenquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110292528","display_name":"Jinqiao Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Jinqiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138785969","display_name":"Lei Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138827093","display_name":"Zhiyu Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Zhiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028040417","display_name":"Xiaochun Yun","orcid":"https://orcid.org/0000-0003-2849-1086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun, Xiaochun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9677000045776367,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9677000045776367,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.008299999870359898,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0034000000450760126,"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/robustness","display_name":"Robustness (evolution)","score":0.7777000069618225},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6258000135421753},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6110000014305115},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5479000210762024},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.3962000012397766},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.37779998779296875}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7777000069618225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177000045776367},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6258000135421753},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5479000210762024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4221999943256378},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33320000767707825},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30219998955726624},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2921000123023987},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.17462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17462","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.17462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17462","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.4848775267601013}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Website":[1],"Fingerprinting":[2],"(WF)":[3],"attacks":[4],"achieve":[5],"high":[6],"accuracy":[7],"in":[8,16],"controlled":[9],"laboratory":[10],"settings,":[11],"they":[12],"often":[13],"degrade":[14],"substantially":[15],"real-world":[17],"environments":[18],"due":[19],"to":[20,46,158,166],"spatio-temporal":[21],"drift,":[22,147],"browser":[23],"heterogeneity,":[24],"proxy":[25],"obfuscation":[26],"and":[27,43,75,160],"etc.":[28],"This":[29],"limitation":[30],"stems":[31],"from":[32,117,156,164],"their":[33],"sole":[34],"reliance":[35],"on":[36,72,109],"low-level":[37],"traffic":[38],"features":[39],"that":[40,132,171],"are":[41],"noisy":[42],"highly":[44],"sensitive":[45],"environmental":[47],"perturbations.":[48],"To":[49],"address":[50],"this":[51],"problem,":[52],"we":[53],"propose":[54],"\\textbf{ResAware},":[55],"a":[56,62,69,83,110,144],"cross-environment":[57,137],"resource-aware":[58],"distillation":[59],"framework":[60],"under":[61],"\\textit{training-rich/inference-poor}":[63],"asymmetric":[64],"setting.":[65],"Specifically,":[66],"ResAware":[67,108,133,150],"trains":[68],"teacher":[70],"model":[71,85,95],"resource-level":[73,172],"features,":[74],"then":[76],"distills":[77],"the":[78,93,136,152,161],"resulting":[79],"privileged":[80],"knowledge":[81,88],"into":[82],"student":[84,94],"through":[86],"heterogeneous":[87],"distillation.":[89],"At":[90],"deployment":[91],"time,":[92],"performs":[96],"inference":[97],"using":[98],"only":[99],"encrypted":[100],"traffic,":[101],"incurring":[102],"zero":[103],"additional":[104],"cost.":[105],"We":[106],"evaluate":[107],"large-scale":[111],"dataset":[112],"collected":[113],"over":[114],"five":[115],"months":[116],"six":[118],"globally":[119],"distributed":[120],"vantage":[121],"points,":[122],"comprising":[123],"more":[124],"than":[125],"$160{,}000$":[126],"paired":[127],"samples.":[128],"The":[129],"results":[130,169],"show":[131],"significantly":[134],"enhances":[135],"robustness":[138,176],"of":[139,154],"diverse":[140],"WF":[141,175],"baselines.":[142],"Under":[143],"150-day":[145],"temporal":[146],"for":[148],"example,":[149],"improves":[151,174],"F1-score":[153],"Var-CNN":[155],"$72.77\\%$":[157],"$81.49\\%$":[159],"open-world":[162],"$TPR@1\\%FPR$":[163],"$22.40\\%$":[165],"$27.20\\%$.":[167],"Our":[168],"demonstrate":[170],"supervision":[173],"without":[177],"expanding":[178],"online":[179],"observation":[180],"capabilities.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-18T00:00:00"}
