{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Tuo Y"],"pubmed_abstract":["Today's deep neural networks have excellent performance on a variety of tasks. However, the emergence of adversarial examples has raised concerns about the security of the models. Attacks on real-world models are difficult because real-world models only return the final decision. While the decision-based attacks can generate adversarial examples solely based on the model's hard-label information, which makes it closest to real-world. However, existing decision-based attacks still require thousands of queries to generate good quality adversarial examples. Therefore, in order to generate high-quality adversarial examples with low query budget, we present a novel decision-based attack one plane one query attack (OPOQA). The main idea of the OPOQA is to generate more candidate examples in each"],"journal":["Scientific reports"],"pagination":["6886"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12916764"],"repository":["biostudies-literature"],"pubmed_title":["Query-efficient decision-based adversarial attack with low query budget."],"pmcid":["PMC12916764"],"pubmed_authors":["Tuo Y","Che S","Yin M"],"additional_accession":[]},"is_claimable":false,"name":"Query-efficient decision-based adversarial attack with low query budget.","description":"Today's deep neural networks have excellent performance on a variety of tasks. However, the emergence of adversarial examples has raised concerns about the security of the models. Attacks on real-world models are difficult because real-world models only return the final decision. While the decision-based attacks can generate adversarial examples solely based on the model's hard-label information, which makes it closest to real-world. However, existing decision-based attacks still require thousands of queries to generate good quality adversarial examples. Therefore, in order to generate high-quality adversarial examples with low query budget, we present a novel decision-based attack one plane one query attack (OPOQA). The main idea of the OPOQA is to generate more candidate examples in each","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T09:23:06.092Z","creation":"2026-07-09T10:46:40.032Z"},"accession":"S-EPMC12916764","cross_references":{"pubmed":["41629452"],"doi":["10.1038/s41598-026-38428-4"]}}