APA (7th ed.) Citation

Golabi, A., Erradi, A., Bensaid, A., Al-Ali, A., & Qidwai, U. (2025). A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout. International Journal of Information Security, 24(3), 1. https://doi.org/10.1007/s10207-025-01049-5

Chicago Style (17th ed.) Citation

Golabi, Arash, Abdelkarim Erradi, Ahmed Bensaid, Abdulla Al-Ali, and Uvais Qidwai. "A Dual-stage Deep Learning Approach for Robust Detection and Identification of Hardware Trojans Using Monte-carlo Dropout." International Journal of Information Security 24, no. 3 (2025): 1. https://doi.org/10.1007/s10207-025-01049-5.

MLA (9th ed.) Citation

Golabi, Arash, et al. "A Dual-stage Deep Learning Approach for Robust Detection and Identification of Hardware Trojans Using Monte-carlo Dropout." International Journal of Information Security, vol. 24, no. 3, 2025, p. 1, https://doi.org/10.1007/s10207-025-01049-5.