Recovering AES Keys with a Deep Cold Boot Attack. - Itamar Zimerman; Eliya Nachmani; Lior Wolf (ICML, 2021)

Efficient Skip Connections Realization for Secure Inference on Encrypted Data. - Nir Drucker; Itamar Zimerman (CSCML, 2023)

Focus Your Attention (with Adaptive IIR Filters). - Shahar Lutati; Itamar Zimerman; Lior Wolf (EMNLP, 2023)

Decision S4: Efficient Sequence-Based RL via State Spaces Layers. - Shmuel Bar-David; Itamar Zimerman; Eliya Nachmani; Lior Wolf (ICLR, 2023)

Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. - Moran Baruch; Nir Drucker; Gilad Ezov; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CoRR, 2023)

2-D SSM: A General Spatial Layer for Visual Transformers. - Ethan Baron 002; Itamar Zimerman; Lior Wolf (CoRR, 2023)

On the Long Range Abilities of Transformers. - Itamar Zimerman; Lior Wolf (CoRR, 2023)

Multi-Dimensional Hyena for Spatial Inductive Bias. - Itamar Zimerman; Lior Wolf (AISTATS, 2024)

Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference. - Moran Baruch; Nir Drucker; Gilad Ezov; Yoav Goldberg; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CSCML, 2024)

A 2-Dimensional State Space Layer for Spatial Inductive Bias. - Ethan Baron 002; Itamar Zimerman; Lior Wolf (ICLR, 2024)

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. - Itamar Zimerman; Moran Baruch; Nir Drucker; Gilad Ezov; Omri Soceanu; Lior Wolf (ICML, 2024)

Viewing Transformers Through the Lens of Long Convolutions Layers. - Itamar Zimerman; Lior Wolf (ICML, 2024)

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models. - Itamar Zimerman; Ameen Ali; Lior Wolf (CoRR, 2024)

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)

The Hidden Attention of Mamba Models. - Ameen Ali; Itamar Zimerman; Lior Wolf (ACL (1), 2025)

DeciMamba: Exploring the Length Extrapolation Potential of Mamba. - Assaf Ben-Kish; Itamar Zimerman; Shady Abu-Hussein; Nadav Cohen 001; Amir Globerson; Lior Wolf; Raja Giryes (ICLR, 2025)

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation. - Itamar Zimerman; Ameen Ali; Lior Wolf (ICLR, 2025)

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach. - Edo Cohen-Karlik; Itamar Zimerman; Liane Galanti; Ido Atad; Amir Globerson; Lior Wolf (CoRR, 2025)

Overflow Prevention Enhances Long-Context Recurrent LLMs. - Assaf Ben-Kish; Itamar Zimerman; Muhammad Jehanzeb Mirza; James R. Glass; Leonid Karlinsky; Raja Giryes (CoRR, 2025)

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability. - Yarden Bakish; Itamar Zimerman; Hila Chefer; Lior Wolf (CoRR, 2025)

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs. - Roy Eisenstadt; Itamar Zimerman; Lior Wolf (CoRR, 2025)

Differential Mamba. - Nadav Schneider; Itamar Zimerman; Eliya Nachmani (CoRR, 2025)