{"id":"https://openalex.org/W7134848743","doi":"https://doi.org/10.1109/lcsys.2026.3671784","title":"Lightweight No-Regret Online Learning in Repeated Stackelberg Security Games","display_name":"Lightweight No-Regret Online Learning in Repeated Stackelberg Security Games","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7134848743","doi":"https://doi.org/10.1109/lcsys.2026.3671784"},"language":null,"primary_location":{"id":"doi:10.1109/lcsys.2026.3671784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2026.3671784","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Control Systems Letters","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/A5128686271","display_name":"Guanda Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanda Chen","raw_affiliation_strings":["Robotics and Autonomous Systems Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-8840-068X","affiliations":[{"raw_affiliation_string":"Robotics and Autonomous Systems Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096043414","display_name":"Yiding Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiding Ji","raw_affiliation_strings":["Robotics and Autonomous Systems Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2678-7051","affiliations":[{"raw_affiliation_string":"Robotics and Autonomous Systems Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128677346","display_name":"Shuo Han","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuo Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0003-2204-6256","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23623986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"193","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.3285999894142151,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.3285999894142151,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.1266999989748001,"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/T11031","display_name":"Game Theory and Applications","score":0.09380000084638596,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.7174999713897705},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6647999882698059},{"id":"https://openalex.org/keywords/stackelberg-competition","display_name":"Stackelberg competition","score":0.6069999933242798},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5325000286102295},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5166000127792358},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44609999656677246},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.42089998722076416},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.3856000006198883},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.38530001044273376}],"concepts":[{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.7174999713897705},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6647999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309000253677368},{"id":"https://openalex.org/C199510392","wikidata":"https://www.wikidata.org/wiki/Q1184602","display_name":"Stackelberg competition","level":2,"score":0.6069999933242798},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5415999889373779},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5166000127792358},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3118000030517578},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2621999979019165},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2026.3671784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2026.3671784","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2836901605","display_name":null,"funder_award_id":"62303389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4404831163","display_name":null,"funder_award_id":"SKXRC2025463","funder_id":"https://openalex.org/F4320329758","funder_display_name":"Zhejiang Association for Science and Technology"},{"id":"https://openalex.org/G4941439742","display_name":null,"funder_award_id":"62373289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329758","display_name":"Zhejiang Association for Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"investigates":[2],"learning":[3],"no":[4],"regret":[5,142],"defender":[6],"strategies":[7],"in":[8,117],"repeated":[9],"Stackelberg":[10,31],"Security":[11],"Games":[12],"(SSGs)":[13],"against":[14,85],"an":[15,22,54,91],"unknown":[16],"sequence":[17],"of":[18,66,95,126],"attackers.":[19],"We":[20],"propose":[21],"efficient":[23],"algorithm":[24,39,71,113,135],"that":[25,111,133],"combines":[26],"the":[27,35,41,46,67,78,96],"Decomposed":[28],"Optimal":[29],"Bayesian":[30],"Solver":[32],"(DOBSS)":[33],"with":[34,63,75,124],"online":[36],"combinatorial":[37],"optimization":[38,55],"Follow":[40],"Perturbed":[42],"Leader":[43],"(FPL).":[44],"Specifically,":[45],"optimal":[47,79],"strategy":[48,81],"is":[49,60,93],"dynamically":[50],"computed":[51],"by":[52,139],"solving":[53],"problem":[56],"where":[57],"random":[58],"perturbation":[59],"strategically":[61],"integrated":[62],"historical":[64],"observations":[65],"attacker":[68,87],"sequence.":[69],"Our":[70],"provably":[72],"achieves":[73,114],"no-regret":[74],"respect":[76],"to":[77],"hindsight":[80],"and":[82,100,120,144],"remains":[83],"resilient":[84],"adversarial":[86],"sequences,":[88],"even":[89],"when":[90],"adversary":[92],"aware":[94],"defender\u2019s":[97],"algorithmic":[98],"framework":[99],"intentionally":[101],"selects":[102],"sequences":[103],"causing":[104],"a":[105],"higher":[106],"regret.":[107],"Additionally,":[108],"we":[109],"prove":[110],"our":[112,134],"exponential":[115],"reductions":[116],"both":[118],"space":[119],"time":[121],"complexity":[122],"compared":[123],"subprocedure":[125],"baseline":[127,137],"methods.":[128],"Comprehensive":[129],"empirical":[130],"studies":[131],"confirm":[132],"outperforms":[136],"methods":[138],"achieving":[140],"lower":[141],"bound":[143],"reduced":[145],"computational":[146],"cost.":[147]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2026-03-11T00:00:00"}