{"id":"https://openalex.org/W4404378267","doi":"https://doi.org/10.4230/lipics.ccc.2026.5","title":"Condensing and Extracting Against Online Adversaries","display_name":"Condensing and Extracting Against Online Adversaries","publication_year":2024,"publication_date":"2024-11-06","ids":{"openalex":"https://openalex.org/W4404378267","doi":"https://doi.org/10.4230/lipics.ccc.2026.5"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2411.04115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.04115","pdf_url":"https://arxiv.org/pdf/2411.04115","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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.04115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045073799","display_name":"Eshan Chattopadhyay","orcid":"https://orcid.org/0000-0001-9140-3160"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chattopadhyay, Eshan","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-9140-3160","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066098639","display_name":"Mohit Gurumukhani","orcid":"https://orcid.org/0009-0007-8808-2846"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gurumukhani, Mohit","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0009-0007-8808-2846","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061075566","display_name":"Noam Ringach","orcid":"https://orcid.org/0000-0003-2202-0363"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ringach, Noam","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-2202-0363","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Servedio, Rocco A.","orcid":"https://orcid.org/0000-0003-2407-543X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Servedio, Rocco A.","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-2407-543X","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9248999953269958,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9248999953269958,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9042999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44045186042785645},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4148007035255432},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3742717504501343},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3542554974555969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44045186042785645},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4148007035255432},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3742717504501343},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3542554974555969}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2411.04115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.04115","pdf_url":"https://arxiv.org/pdf/2411.04115","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2411.04115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.04115","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":"Preprint"},{"id":"doi:10.4230/lipics.ccc.2026.5","is_oa":true,"landing_page_url":"https://doi.org/10.4230/lipics.ccc.2026.5","pdf_url":null,"source":{"id":"https://openalex.org/S7407052059","display_name":"Dagstuhl Research Online Publication Server","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.04115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.04115","pdf_url":"https://arxiv.org/pdf/2411.04115","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1817820390","display_name":"Collaborative Research: AF: Medium: Continuous Concrete Complexity","funder_award_id":"2211238","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1897224967","display_name":"AF: Medium: The Trace Reconstruction Problem","funder_award_id":"2106429","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3854325956","display_name":null,"funder_award_id":"CCF-2106429","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5192479438","display_name":"CAREER: Randomness in Computation","funder_award_id":"2045576","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6174244922","display_name":"Graduate Research Fellowship Program (GRFP)","funder_award_id":"2139899","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404378267.pdf","grobid_xml":"https://content.openalex.org/works/W4404378267.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,140,193,257],"study":[1,220],"the":[2,52,108,113,128,161,164,173,221,233,240],"tasks":[3],"of":[4,19,38,75,87,116,163,166,175,223,235,242,244],"deterministically":[5],"condensing":[6,76],"and":[7,51,62,84,94,133,185,201,211,248],"extracting":[8],"from":[9,225],"Online":[10],"Non-Oblivious":[11],"Symbol":[12],"Fixing":[13],"(oNOSF)":[14],"sources,":[15],"a":[16,36,122,143,181],"natural":[17],"model":[18],"defective":[20],"randomness":[21],"where":[22,41],"extraction":[23,224,254],"is":[24,35,96,135,180,187],"impossible":[25],"in":[26,98,138,207],"many":[27],"parameter":[28],"regimes":[29],"[AORSV,":[30],"EUROCRYPT'20].":[31],"A":[32],"$(g,\\ell)$-oNOSF":[33],"source":[34],"sequence":[37],"$\\ell$":[39,186],"blocks":[40,45,55],"at":[42],"least":[43],"$g$":[44],"are":[46,56],"good":[47],"(independent,":[48],"with":[49,67],"min-entropy)":[50],"remaining":[53],"bad":[54],"controlled":[57],"by":[58,126,171],"an":[59],"online":[60,236],"adversary":[61],"can":[63],"be":[64],"arbitrarily":[65],"correlated":[66],"prior":[68],"blocks.":[69],"Previously,":[70],"[CGR,":[71,117],"FOCS'24]":[72],"proved":[73],"impossibility":[74],"beyond":[77],"rate":[78],"$1/2$":[79],"when":[80,90,130,178],"$g\\le":[81],"0.5":[82],"\\ell$":[83],"showed":[85],"existence":[86,165,174],"condensers":[88,111,167,176,196],"for":[89,148,168,216],"$g":[91,190],"\\ge":[92,191],"0.51\\ell$":[93,132],"$n$":[95,134,179],"exponential":[97,124],"$\\ell$.":[99,139],"In":[100],"this":[101],"work,":[102],"not":[103],"only":[104,136],"do":[105],"we":[106,120,158,219,231],"construct":[107,259],"first":[109],"explicit":[110,146,260],"matching":[112],"existential":[114],"results":[115],"FOCS'24],":[118],"but":[119],"make":[121],"doubly":[123],"improvement":[125],"handling":[127],"case":[129],"$g\\ge":[131],"polylogarithmic":[137],"also":[141,258],"obtain":[142],"much":[144],"improved":[145],"construction":[147],"transforming":[149],"low-entropy":[150],"oNOSF":[151,155,169,226],"sources":[152,170],"into":[153],"uniform":[154],"sources.":[156,227],"Next,":[157],"essentially":[159],"resolve":[160],"question":[162],"showing":[172],"even":[177],"large":[182],"enough":[183],"constant":[184],"growing":[188],"(provided":[189],"0.51\\ell$).":[192],"apply":[194],"our":[195],"to":[197],"collective":[198,202],"coin":[199],"flipping":[200],"sampling,":[203],"widely":[204],"studied":[205],"problems":[206],"fault-tolerant":[208],"distributed":[209],"computing,":[210],"provide":[212],"very":[213],"simple":[214],"protocols":[215,265],"them.":[217],"Finally,":[218],"possibility":[222],"For":[228],"lower":[229,255],"bounds,":[230],"introduce":[232],"notion":[234,241],"influence":[237,243],"-":[238,247],"extending":[239],"boolean":[245],"functions":[246,270],"establish":[249],"tight":[250],"bounds":[251],"that":[252,266],"imply":[253],"bounds.":[256],"extractors":[261],"via":[262],"leader":[263],"election":[264],"beat":[267],"standard":[268],"resilient":[269],"[AL,":[271],"Combinatorica'93].":[272]},"counts_by_year":[],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2024-11-15T00:00:00"}