{"id":"https://openalex.org/W2887603965","doi":"https://doi.org/10.1007/978-3-030-01258-8_39","title":"Is Robustness the Cost of Accuracy? \u2013 A Comprehensive Study on the Robustness of 18 Deep Image Classification Models","display_name":"Is Robustness the Cost of Accuracy? \u2013 A Comprehensive Study on the Robustness of 18 Deep Image Classification Models","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2887603965","doi":"https://doi.org/10.1007/978-3-030-01258-8_39","mag":"2887603965"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-01258-8_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01258-8_39","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/A5102944086","display_name":"Dong Su","orcid":"https://orcid.org/0000-0002-1410-2468"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Su","raw_affiliation_strings":["IBM Research, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356973","display_name":"Huan Zhang","orcid":"https://orcid.org/0000-0002-9914-6602"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Zhang","raw_affiliation_strings":["University of California, Davis, Davis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062177930","display_name":"Hongge Chen","orcid":"https://orcid.org/0000-0002-7519-7341"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongge Chen","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030837133","display_name":"Jinfeng Yi","orcid":"https://orcid.org/0000-0003-2149-0670"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Yi","raw_affiliation_strings":["JD AI Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD AI Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050344371","display_name":"Pin\u2010Yu Chen","orcid":"https://orcid.org/0000-0003-1039-8369"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pin-Yu Chen","raw_affiliation_strings":["IBM Research, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, New York, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101103417","display_name":"Yupeng Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yupeng Gao","raw_affiliation_strings":["IBM Research, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, New York, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102944086"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":362,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"644","last_page":"661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9514999985694885,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9383999705314636,"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":0.8256288766860962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525601387023926},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.6329841017723083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6017044186592102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4982564449310303},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.48387372493743896},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4544825553894043},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4110986590385437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36004745960235596},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3231644034385681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3044498562812805}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8256288766860962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525601387023926},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.6329841017723083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017044186592102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4982564449310303},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.48387372493743896},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4544825553894043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4110986590385437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36004745960235596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3231644034385681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3044498562812805},{"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/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"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:10.1007/978-3-030-01258-8_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01258-8_39","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":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1836465849","https://openalex.org/W1945616565","https://openalex.org/W2067713319","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2274287116","https://openalex.org/W2302255633","https://openalex.org/W2408141691","https://openalex.org/W2552767274","https://openalex.org/W2553303224","https://openalex.org/W2604505099","https://openalex.org/W2610190180","https://openalex.org/W2612445135","https://openalex.org/W2618235498","https://openalex.org/W2746600820","https://openalex.org/W2755655609","https://openalex.org/W2774008708","https://openalex.org/W2783784437","https://openalex.org/W2786977288","https://openalex.org/W2787487383","https://openalex.org/W2794902890","https://openalex.org/W2798302089","https://openalex.org/W2799031185","https://openalex.org/W2799107510","https://openalex.org/W2799244840","https://openalex.org/W2807455131","https://openalex.org/W2950864148","https://openalex.org/W2962835968","https://openalex.org/W2962995403","https://openalex.org/W2963118571","https://openalex.org/W2963446712","https://openalex.org/W2963448658","https://openalex.org/W2963557656","https://openalex.org/W2963564844","https://openalex.org/W2963604280","https://openalex.org/W2963612069","https://openalex.org/W2963857521","https://openalex.org/W2963911037","https://openalex.org/W2964081807","https://openalex.org/W2964153729","https://openalex.org/W2964205597","https://openalex.org/W2964253222","https://openalex.org/W2964301649","https://openalex.org/W2964350391","https://openalex.org/W3106412272","https://openalex.org/W3118608800","https://openalex.org/W6609625929","https://openalex.org/W6630821195","https://openalex.org/W6637162671"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W4403006689"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":44},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":91},{"year":2020,"cited_by_count":72},{"year":2019,"cited_by_count":51},{"year":2018,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
