ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies. - Seyma Selcan Magara; Ceren Yildirim; Ferhat Yaman; Berke Dilekoglu; Furkan Reha Tutas; Erdinç Öztürk; Kamer Kaya; Öznur Tastan; Erkay Savas (CoRR, 2021)

A Hardware Accelerator for Polynomial Multiplication Operation of CRYSTALS-KYBER PQC Scheme. - Ferhat Yaman; Ahmet Can Mert; Erdinç Öztürk; Erkay Savas (IACR Cryptol. ePrint Arch., 2021)

Hands-On Teaching of Hardware Security for Machine Learning. - Ashley Calhoun; Erick Ortega; Ferhat Yaman; Anuj Dubey; Aydin Aysu (ACM Great Lakes Symposium on VLSI, 2022)

A Survey of Software Implementations for the Number Theoretic Transform. - Ahmet Can Mert; Ferhat Yaman; Emre Karabulut; Erdinç Öztürk; Erkay Savas; Aydin Aysu (SAMOS, 2023)

Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. - Aidan Ferguson; Perry Gibson; Lara D'Agata; Parker McLeod; Ferhat Yaman; Amitabh Das; Ian Colbert; José Cano 001 (EuroMLSys, 2025)

TPUXtract: An Exhaustive Hyperparameter Extraction Framework. - Ashley Kurian; Anuj Dubey; Ferhat Yaman; Aydin Aysu (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)