{"id":"https://openalex.org/W4320736148","doi":"https://doi.org/10.1007/978-3-031-25056-9_33","title":"Improving Adversarial Robustness by\u00a0Penalizing Natural Accuracy","display_name":"Improving Adversarial Robustness by\u00a0Penalizing Natural Accuracy","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320736148","doi":"https://doi.org/10.1007/978-3-031-25056-9_33"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-25056-9_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25056-9_33","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/A5026833693","display_name":"Kshitij Chandna","orcid":"https://orcid.org/0000-0002-0143-6370"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kshitij Chandna","raw_affiliation_strings":["New York University, New York, NY, 10012, USA"],"raw_orcid":"https://orcid.org/0000-0002-0143-6370","affiliations":[{"raw_affiliation_string":"New York University, New York, NY, 10012, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026833693"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00923862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/robustness","display_name":"Robustness (evolution)","score":0.9002682566642761},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8541024327278137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8055020570755005},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5408644080162048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319965481758118},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5153169631958008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4213392734527588},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3479135036468506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15215852856636047},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06194418668746948}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9002682566642761},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8541024327278137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055020570755005},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5408644080162048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319965481758118},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5153169631958008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4213392734527588},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3479135036468506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15215852856636047},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06194418668746948},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-25056-9_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25056-9_33","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2949736877","https://openalex.org/W2962872506","https://openalex.org/W2962968216","https://openalex.org/W2963518130","https://openalex.org/W2963952467","https://openalex.org/W2964137095","https://openalex.org/W2965130685","https://openalex.org/W2992308087","https://openalex.org/W3036129194","https://openalex.org/W3118608800","https://openalex.org/W3205297166","https://openalex.org/W6600281463","https://openalex.org/W6600503824","https://openalex.org/W6600756316","https://openalex.org/W6629414214","https://openalex.org/W6758975236"],"related_works":["https://openalex.org/W4290859889","https://openalex.org/W2230740169","https://openalex.org/W2978686724","https://openalex.org/W4225161019","https://openalex.org/W4312326921","https://openalex.org/W3193369220","https://openalex.org/W2924591601","https://openalex.org/W4221147656","https://openalex.org/W4317664613","https://openalex.org/W4311734044"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}