Type
Funder
Country
—
Documents
28
through any edge
Papers
0
authorship edges
Awards made
18
2 grant numbers
Named as funder
28
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Korea Military Academy has funded
18 awards under 2 distinct grant numbers, across 18 documents. A further 28 documents name it as a funder without a grant number — a weaker claim, counted separately.
AdvU-Net: Generating Adversarial Example Based on Medical Image and Targeting U-Net Modelgrant 2021R1I1A1A01040308 · 2022-06-08How do willingness to communicate and its high evidence factors shape learners’ task emotions in chatbot-assisted language learning?grant 2025B1021 · 2025-10-21Investigating the impact of chatbot design features on affective variables: A mixed-methods studygrant 2025B1021 · 2026-01-01Friend-Guard Textfooler Attack on Text Classification Systemgrant 2021R1I1A1A01040308 · 2021-05-17Textual Backdoor Attack for the Text Classification Systemgrant 2021R1I1A1A01040308 · 2021-10-22Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencodergrant 2021R1I1A1A01040308 · 2021-10-19Dual-Targeted Textfooler Attack on Text Classification Systemsgrant 2021R1I1A1A01040308 · 2021-10-20Toward Backdoor Attacks for Image Captioning Model in Deep Neural Networksgrant 2021R1I1A1A01040308 · 2022-08-16MedicalGuard: U-Net Model Robust against Adversarially Perturbed Imagesgrant 2021R1I1A1A01040308 · 2021-08-09Optimized Adversarial Example With Classification Score Pattern Vulnerability Removedgrant 2021R1I1A1A01040308 · 2021-10-19
10 of 46 funding edges