APA (7th ed.) Citation

AA, F., TZ, S., MZ, H., S, Z., AM, S., AR, S., . . . A, I. (2026). Secure yet fragile: Adversarial vulnerabilities of federated vision-language models in medical AI. Scientific reports, 16(1), . https://doi.org/10.1038/s41598-026-48102-4

Chicago Style (17th ed.) Citation

AA, Fime, Samiha TZ, Hossain MZ, Zaman S, Shibli AM, Shahid AR, Ni Z, and Imteaj A. "Secure yet Fragile: Adversarial Vulnerabilities of Federated Vision-language Models in Medical AI." Scientific Reports 16, no. 1 (2026). https://doi.org/10.1038/s41598-026-48102-4.

MLA (9th ed.) Citation

AA, Fime, et al. "Secure yet Fragile: Adversarial Vulnerabilities of Federated Vision-language Models in Medical AI." Scientific Reports, vol. 16, no. 1, 2026, https://doi.org/10.1038/s41598-026-48102-4.