{"id":"https://openalex.org/W2969596189","doi":"https://doi.org/10.1007/978-3-030-29726-8_18","title":"Backdoor Attacks in Neural Networks \u2013 A Systematic Evaluation on Multiple Traffic Sign Datasets","display_name":"Backdoor Attacks in Neural Networks \u2013 A Systematic Evaluation on Multiple Traffic Sign Datasets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969596189","doi":"https://doi.org/10.1007/978-3-030-29726-8_18","mag":"2969596189"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-29726-8_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29726-8_18","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":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-02520034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003775182","display_name":"Huma Rehman","orcid":"https://orcid.org/0000-0002-3794-1694"},"institutions":[{"id":"https://openalex.org/I4210167190","display_name":"SBA Research","ror":"https://ror.org/05nny6x17","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210167190"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Huma Rehman","raw_affiliation_strings":["SBA Research, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0002-3794-1694","affiliations":[{"raw_affiliation_string":"SBA Research, Vienna, Austria","institution_ids":["https://openalex.org/I4210167190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035676027","display_name":"Andreas Ekelhart","orcid":"https://orcid.org/0000-0003-3682-1364"},"institutions":[{"id":"https://openalex.org/I4210167190","display_name":"SBA Research","ror":"https://ror.org/05nny6x17","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210167190"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Ekelhart","raw_affiliation_strings":["SBA Research, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-3682-1364","affiliations":[{"raw_affiliation_string":"SBA Research, Vienna, Austria","institution_ids":["https://openalex.org/I4210167190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054726748","display_name":"Rudolf Mayer","orcid":"https://orcid.org/0000-0003-0424-5999"},"institutions":[{"id":"https://openalex.org/I4210167190","display_name":"SBA Research","ror":"https://ror.org/05nny6x17","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210167190"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Rudolf Mayer","raw_affiliation_strings":["SBA Research, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-0424-5999","affiliations":[{"raw_affiliation_string":"SBA Research, Vienna, Austria","institution_ids":["https://openalex.org/I4210167190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003775182"],"corresponding_institution_ids":["https://openalex.org/I4210167190"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.4788,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91616871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"300"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886999726295471,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/backdoor","display_name":"Backdoor","score":0.9865673184394836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490753531455994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138051986694336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6606149077415466},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5484174489974976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5476152896881104},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5050473809242249},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49076732993125916},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48260295391082764},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.47825849056243896},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34580525755882263}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9865673184394836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490753531455994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138051986694336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6606149077415466},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5484174489974976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5476152896881104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5050473809242249},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49076732993125916},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48260295391082764},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.47825849056243896},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34580525755882263},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-29726-8_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29726-8_18","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"},{"id":"pmh:oai:HAL:hal-02520034v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02520034","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive 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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.285-300, &#x27E8;10.1007/978-3-030-29726-8_18&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02520034v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02520034","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive 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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.285-300, &#x27E8;10.1007/978-3-030-29726-8_18&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.550000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1552056088","https://openalex.org/W1978736542","https://openalex.org/W2062118960","https://openalex.org/W2067713319","https://openalex.org/W2106837051","https://openalex.org/W2155541015","https://openalex.org/W2161969291","https://openalex.org/W2293768274","https://openalex.org/W2296452361","https://openalex.org/W2310429885","https://openalex.org/W2559840118","https://openalex.org/W2603766943","https://openalex.org/W2748789698","https://openalex.org/W2774423163","https://openalex.org/W2798302089","https://openalex.org/W2810065831","https://openalex.org/W2903456157","https://openalex.org/W2964153729","https://openalex.org/W6600018615"],"related_works":["https://openalex.org/W4385573555","https://openalex.org/W4281570223","https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
