SoK: Cryptography for Neural Networks. - Monir Azraoui; Muhammad Barham; Beyza Bozdemir; Sébastien Canard; Eleonora Ciceri; Orhan Ermis; Ramy Masalha; Marco Mosconi; Melek Önen; Marie Paindavoine; Boris Rozenberg; Bastien Vialla; et al. (Privacy and Identity Management, 2019)

Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. - Ehud Aharoni; Allon Adir; Moran Baruch; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Dov Murik; Omri Soceanu (CoRR, 2020)

Heterogeneous parametric trivariate fillets. - Ramy Masalha; Emiliano Cirillo; Gershon Elber (Comput. Aided Geom. Des., 2021)

Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. - Allon Adir; Ehud Aharoni; Nir Drucker; Eyal Kushnir; Ramy Masalha; Michael Mirkin; Omri Soceanu (ACNS Workshops, 2022)

ELECTRON: An Architectural Framework for Securing the Smart Electrical Grid with Federated Detection, Dynamic Risk Assessment and Self-Healing. - Panagiotis I. Radoglou-Grammatikis; Athanasios Liatifis; Christos Dalamagkas; Alexios Lekidis; Konstantinos Voulgaridis; Thomas Lagkas; Nikolaos Fotos; Sofia-Anna Menesidou; Thomas Krousarlis; Pedro Ruzafa Alcazar; Juan Francisco Martinez; Antonio F. Skarmeta; et al. (ARES, 2023)

Generating One-Hot Maps Under Encryption. - Ehud Aharoni; Nir Drucker; Eyal Kushnir; Ramy Masalha; Hayim Shaul (CSCML, 2023)

HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. - Ehud Aharoni; Allon Adir; Moran Baruch; Nir Drucker; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Guy Moshkowich; Dov Murik; Hayim Shaul; Omri Soceanu (Proc. Priv. Enhancing Technol., 2023)

Power-Softmax: Towards Secure LLM Inference over Encrypted Data. - Itamar Zimerman; Allon Adir; Ehud Aharoni; Matan Avitan; Moran Baruch; Nir Drucker; Jenny Lerner; Ramy Masalha; Reut Meiri; Omri Soceanu (CoRR, 2024)