{"id":"https://openalex.org/W4407601583","doi":"https://doi.org/10.1145/3709026.3709059","title":"On Enhancing Adversarial Robustness of Large Pre-trained Vision-Language Models","display_name":"On Enhancing Adversarial Robustness of Large Pre-trained Vision-Language Models","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4407601583","doi":"https://doi.org/10.1145/3709026.3709059"},"language":"en","primary_location":{"id":"doi:10.1145/3709026.3709059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3709026.3709059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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":null,"display_name":"Jie Luo","orcid":"https://orcid.org/0009-0001-5117-0187"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jie Luo","raw_affiliation_strings":["The 723 institute of CSSC, Yangzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0001-5117-0187","affiliations":[{"raw_affiliation_string":"The 723 institute of CSSC, Yangzhou, Jiangsu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Lingfeng Kong","orcid":"https://orcid.org/0009-0001-1507-6927"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingfeng Kong","raw_affiliation_strings":["The 723 institute of CSSC, Yangzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0001-1507-6927","affiliations":[{"raw_affiliation_string":"The 723 institute of CSSC, Yangzhou, Jiangsu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67124023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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/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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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":0.782359778881073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7147610187530518},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7070139050483704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597758889198303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43847453594207764}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.782359778881073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147610187530518},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7070139050483704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597758889198303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43847453594207764},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3709026.3709059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3709026.3709059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1821462560","https://openalex.org/W1846799578","https://openalex.org/W1861492603","https://openalex.org/W1889081078","https://openalex.org/W1905882502","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2118858186","https://openalex.org/W2123301721","https://openalex.org/W2154652894","https://openalex.org/W2533598788","https://openalex.org/W2640329709","https://openalex.org/W2739879705","https://openalex.org/W2913266441","https://openalex.org/W2963140444","https://openalex.org/W3009542902","https://openalex.org/W3118608800","https://openalex.org/W3126337491","https://openalex.org/W3135367836","https://openalex.org/W3204279503","https://openalex.org/W3214040319","https://openalex.org/W4296605665","https://openalex.org/W4311642344","https://openalex.org/W4318718936","https://openalex.org/W4366850747","https://openalex.org/W4378510493","https://openalex.org/W4378718229","https://openalex.org/W4386065434","https://openalex.org/W4386185260","https://openalex.org/W4386907423"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}