{"id":"https://openalex.org/W4400491141","doi":"https://doi.org/10.1109/cscwd61410.2024.10580434","title":"CAT: Cross-Adversarial Training for WiFi-Based Human Activity Recognition","display_name":"CAT: Cross-Adversarial Training for WiFi-Based Human Activity Recognition","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400491141","doi":"https://doi.org/10.1109/cscwd61410.2024.10580434"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5107772149","display_name":"Luyao Liu","orcid":"https://orcid.org/0009-0006-3644-5572"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luyao Liu","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074995516","display_name":"Zhipeng Zhou","orcid":"https://orcid.org/0000-0002-1564-5800"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhou","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060827269","display_name":"Mingwu Chen","orcid":"https://orcid.org/0000-0001-8760-949X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingwu Chen","raw_affiliation_strings":["The First Affiliated Hospital of USTC,Department of Pediatrics,Hefei,China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of USTC,Department of Pediatrics,Hefei,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101683485","display_name":"Wei Gong","orcid":"https://orcid.org/0000-0002-2986-3956"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gong","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107772149"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07967744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1023","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9797999858856201,"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/adversarial-system","display_name":"Adversarial system","score":0.8002170324325562},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7197284698486328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684731125831604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46224522590637207},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36935949325561523}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8002170324325562},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7197284698486328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684731125831604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46224522590637207},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36935949325561523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2754052029","https://openalex.org/W2883626809","https://openalex.org/W2897132279","https://openalex.org/W3035743198","https://openalex.org/W3125304350","https://openalex.org/W4283211831","https://openalex.org/W4293846201","https://openalex.org/W6640425456","https://openalex.org/W6755310938","https://openalex.org/W6763111939"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119"],"abstract_inverted_index":{"When":[0],"attacked":[1],"by":[2,31,139],"mainstream":[3],"adversarial":[4,21,25,53,80,117,212],"attack":[5,176],"methods,":[6],"the":[7,45,58,71,75,94,102,112,125,160,184,204],"classical":[8],"WiFi-based":[9,198],"human":[10],"activity":[11],"recognition":[12],"(HAR)":[13],"system":[14],"shows":[15],"poor":[16],"robustness.":[17,42],"Nevertheless,":[18],"popular":[19],"standard":[20],"training":[22,50,54],"(SAT)":[23],"conducts":[24],"attacks":[26],"on":[27],"every":[28],"data":[29,61],"batch":[30],"selecting":[32],"partial":[33],"perturbation":[34,72],"values,":[35],"resulting":[36],"in":[37,62,146,151,197],"unfavorable":[38],"model":[39,162],"performance":[40],"and":[41,99,108,131,144,156,179,207],"To":[43,165],"mitigate":[44],"issues,":[46],"we":[47,89,168],"propose":[48],"cross-adversarial":[49],"(CAT),":[51],"an":[52,140],"technique":[55],"that":[56,82,122,183],"cross-attacks":[57],"source":[59],"domain":[60],"each":[63],"batch.":[64],"We":[65,190],"develop":[66],"a":[67,152,171,194],"filter":[68],"to":[69,85,115,159,175],"establish":[70],"threshold":[73,113],"for":[74],"parameter":[76],"(i.e.,":[77],"\u03f5)":[78],"of":[79,97,104,111,142,154,173,187],"examples":[81],"are":[83],"distinguishable":[84],"naked":[86],"eyes.":[87],"Further,":[88],"design":[90],"cross-zero,":[91],"which":[92],"crosses":[93],"zero":[95],"point":[96],"\u03f5":[98,105,174],"randomly":[100],"selects":[101],"value":[103],"from":[106],"positive":[107],"negative":[109],"intervals":[110],"range":[114],"generate":[116],"examples.":[118],"Our":[119],"experiments":[120],"demonstrate":[121],"when":[123],"utilizing":[124],"fast":[126],"gradient":[127,133],"sign":[128],"method":[129],"(FGSM)":[130],"projected":[132],"descent":[134],"(PGD),":[135],"CAT":[136,188,192],"outperforms":[137],"SAT":[138,149],"average":[141],"10.37%":[143],"16.33%":[145],"accuracy,":[147],"while":[148],"results":[150],"decrease":[153],"6.37%":[155],"12.53%":[157],"compared":[158],"original":[161],"(ORI),":[163],"respectively.":[164],"evaluate":[166],"robustness,":[167],"also":[169],"use":[170],"series":[172],"ORI,":[177],"SAT,":[178],"CAT.":[180],"Results":[181],"show":[182],"overall":[185],"robustness":[186],"prevails.":[189],"believe":[191],"has":[193],"bright":[195],"future":[196],"HAR":[199],"applications":[200],"since":[201],"it":[202],"increases":[203],"system\u2019s":[205],"security":[206],"efficiency":[208],"through":[209],"mitigating":[210],"prevalent":[211],"attacks.":[213]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
