{"id":"https://openalex.org/W4312940586","doi":"https://doi.org/10.1007/978-3-031-19800-7_19","title":"All You Need Is RAW: Defending Against Adversarial Attacks with\u00a0Camera Image Pipelines","display_name":"All You Need Is RAW: Defending Against Adversarial Attacks with\u00a0Camera Image Pipelines","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312940586","doi":"https://doi.org/10.1007/978-3-031-19800-7_19"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-19800-7_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-19800-7_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5100319895","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0000-0001-6905-3993"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035080566","display_name":"Bo Dong","orcid":"https://orcid.org/0000-0001-7695-9072"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Dong","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059313827","display_name":"Felix Heide","orcid":"https://orcid.org/0000-0002-8054-9823"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Heide","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9333999752998352,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9276000261306763,"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":0.8586122989654541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7691047787666321},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6265011429786682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.603021502494812},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5300495624542236},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5028685927391052},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46504202485084534},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4612099230289459},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42486658692359924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3608248233795166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8586122989654541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7691047787666321},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6265011429786682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.603021502494812},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5300495624542236},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5028685927391052},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46504202485084534},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4612099230289459},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42486658692359924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3608248233795166},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-19800-7_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-19800-7_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2326925005","https://openalex.org/W2412782625","https://openalex.org/W2519963891","https://openalex.org/W2552290192","https://openalex.org/W2556872594","https://openalex.org/W2603766943","https://openalex.org/W2604505099","https://openalex.org/W2611576673","https://openalex.org/W2737258237","https://openalex.org/W2745565856","https://openalex.org/W2746600820","https://openalex.org/W2774018344","https://openalex.org/W2774607536","https://openalex.org/W2798302089","https://openalex.org/W2799265886","https://openalex.org/W2905311601","https://openalex.org/W2943960148","https://openalex.org/W2949695917","https://openalex.org/W2952046917","https://openalex.org/W2962360676","https://openalex.org/W2962872506","https://openalex.org/W2962933288","https://openalex.org/W2963073614","https://openalex.org/W2963150697","https://openalex.org/W2963384482","https://openalex.org/W2963542245","https://openalex.org/W2963771536","https://openalex.org/W2963855547","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964205597","https://openalex.org/W2982648698","https://openalex.org/W2986422266","https://openalex.org/W2990237009","https://openalex.org/W3004298045","https://openalex.org/W3035005405","https://openalex.org/W3035381835","https://openalex.org/W3035447895","https://openalex.org/W3035467354","https://openalex.org/W3035635957","https://openalex.org/W3093669949","https://openalex.org/W3098620600","https://openalex.org/W3106412272","https://openalex.org/W3121915008","https://openalex.org/W3134235012","https://openalex.org/W3159182652","https://openalex.org/W3175985367","https://openalex.org/W3176380844","https://openalex.org/W3176833789","https://openalex.org/W3199451736","https://openalex.org/W6600175266","https://openalex.org/W6601198272","https://openalex.org/W6609066349","https://openalex.org/W6630821195","https://openalex.org/W6637162671"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2502115930","https://openalex.org/W2358353312"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}