{"id":"https://openalex.org/W2167008044","doi":"https://doi.org/10.1109/icassp.2013.6639361","title":"Coping with the enemy: Advances in adversary-aware signal processing","display_name":"Coping with the enemy: Advances in adversary-aware signal processing","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2167008044","doi":"https://doi.org/10.1109/icassp.2013.6639361","mag":"2167008044"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007836692","display_name":"Mauro Barni","orcid":"https://orcid.org/0000-0002-7368-0866"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Barni","raw_affiliation_strings":["Department of Information Engineering, University of Siena, Siena, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076826398","display_name":"Fernando P\u00e9rez\u2010Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-0568-1373"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Perez-Gonzalez","raw_affiliation_strings":["ES Telecomunicacion, University of Vigo, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ES Telecomunicacion, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8682","last_page":"8686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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":0.9991999864578247,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9987999796867371,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/adversary","display_name":"Adversary","score":0.8540284633636475},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7676591873168945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410222291946411},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5872201919555664},{"id":"https://openalex.org/keywords/adversary-model","display_name":"Adversary model","score":0.5576533675193787},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5002107620239258},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46685606241226196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4499998688697815},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.435953825712204},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4158935546875},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.41366034746170044},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3626757562160492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09200838208198547}],"concepts":[{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.8540284633636475},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7676591873168945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410222291946411},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5872201919555664},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.5576533675193787},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5002107620239258},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46685606241226196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4499998688697815},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.435953825712204},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4158935546875},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.41366034746170044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3626757562160492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09200838208198547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6639361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:usiena-air.unisi.it:11365/46342","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/46342","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W34732858","https://openalex.org/W61148521","https://openalex.org/W1513918180","https://openalex.org/W1594536929","https://openalex.org/W1605802148","https://openalex.org/W1860627900","https://openalex.org/W1877781347","https://openalex.org/W1972771043","https://openalex.org/W1993834728","https://openalex.org/W2001119942","https://openalex.org/W2007961193","https://openalex.org/W2035540258","https://openalex.org/W2044943815","https://openalex.org/W2045103029","https://openalex.org/W2060825484","https://openalex.org/W2096521846","https://openalex.org/W2101267709","https://openalex.org/W2106129384","https://openalex.org/W2109100253","https://openalex.org/W2125428225","https://openalex.org/W2125908420","https://openalex.org/W2126754471","https://openalex.org/W2134396947","https://openalex.org/W2156281477","https://openalex.org/W2165478325","https://openalex.org/W2170004014","https://openalex.org/W2296452361","https://openalex.org/W2548353955","https://openalex.org/W6650341858","https://openalex.org/W6674194619","https://openalex.org/W6729240663"],"related_works":["https://openalex.org/W2978686724","https://openalex.org/W2085319386","https://openalex.org/W4230986050","https://openalex.org/W2522301850","https://openalex.org/W2042960896","https://openalex.org/W4317664613","https://openalex.org/W4362599004","https://openalex.org/W2805147737","https://openalex.org/W3081101825","https://openalex.org/W2167008044"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2],"a":[3,8,79,84],"first":[4],"attempt":[5],"to":[6,19,52],"provide":[7],"unified":[9],"framework":[10],"for":[11],"studying":[12],"signal":[13],"processing":[14],"problems":[15],"where":[16,87],"designers":[17],"have":[18,90],"cope":[20],"with":[21],"the":[22,40,48,54,68,76],"presence":[23,77],"of":[24,78],"an":[25],"adversary,":[26,81],"including":[27,60],"media":[28],"forensics,":[29],"watermarking,":[30],"adversarial":[31],"machine":[32],"learning,":[33],"biometric":[34],"spoofing,":[35],"etc.":[36],"We":[37,94],"focus":[38],"on":[39],"binary":[41],"decision":[42,55],"problem":[43],"and":[44,64],"discuss":[45],"which":[46],"strategies":[47],"adversary":[49],"can":[50,70],"use":[51],"flip":[53],"output":[56],"at":[57],"minimal":[58],"cost,":[59],"blind":[61],"sensitivity":[62],"attacks":[63],"hill-climbing":[65],"attacks.":[66],"As":[67],"defender":[69],"also":[71],"play":[72],"smarter":[73],"by":[74,96,101],"considering":[75],"rational":[80],"we":[82],"introduce":[83],"game-theoretic":[85,103],"approach":[86],"some":[88,98],"advances":[89],"been":[91],"recently":[92],"made.":[93],"conclude":[95],"discussing":[97],"trends":[99],"raised":[100],"this":[102],"formulation.":[104]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}