Kucur, E. N., Buyuktanir, T., Ugurelli, M., & Yildiz, K. (2026). Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions. Applied Sciences (2076-3417), 16(1), 277. https://doi.org/10.3390/app16010277
Chicago Style (17th ed.) CitationKucur, Elif Nur, Tolga Buyuktanir, Muharrem Ugurelli, and Kazim Yildiz. "Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions." Applied Sciences (2076-3417) 16, no. 1 (2026): 277. https://doi.org/10.3390/app16010277.
MLA (9th ed.) CitationKucur, Elif Nur, et al. "Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions." Applied Sciences (2076-3417), vol. 16, no. 1, 2026, p. 277, https://doi.org/10.3390/app16010277.