Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators. - Emily Lattanzio; Ranyang Zhou; Arman Roohi; Abdallah Khreishah; Durga Misra; Shaahin Angizi (IGSC, 2022)

ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation. - Ranyang Zhou; Arman Roohi; Durga Misra; Shaahin Angizi (ICCAD, 2022)

FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation. - Ranyang Zhou; Arman Roohi; Durga Misra; Shaahin Angizi (ISLPED, 2022)

LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking. - Ranyang Zhou; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (IEEE Comput. Archit. Lett., 2022)

P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. - Ranyang Zhou; Sepehr Tabrizchi; Mehrdad Morsali; Arman Roohi; Shaahin Angizi (DATE, 2023)

XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration. - Mehrdad Morsali; Ranyang Zhou; Sepehr Tabrizchi; Arman Roohi; Shaahin Angizi (ISQED, 2023)

DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. - Ranyang Zhou; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 2023)

Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Nakul Kochar; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 2023)

Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design. - Deniz Najafi; Mehrdad Morsali; Ranyang Zhou; Arman Roohi; Andrew Marshall; Durga Misra; Shaahin Angizi (CoRR, 2023)

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. - Sabbir Ahmed; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (CVPR, 2024)

DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. - Ranyang Zhou; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (DAC, 2024)

DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. - Ranyang Zhou; Sabbir Ahmed; Arman Roohi; Adnan Siraj Rakin; Shaahin Angizi (DATE, 2024)

Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. - Deniz Najafi; Sepehr Tabrizchi; Ranyang Zhou; Mohammadreza Amel Solouki; Andrew Marshall; Arman Roohi; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2024)

DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. - Ranyang Zhou; Jacqueline T. Liu; Nakul Kochar; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 2024)

A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings. - Ranyang Zhou; Jacqueline T. Liu; Nakul Kochar; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi (IEEE Embed. Syst. Lett., 2024)

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge. - Sabbir Ahmed; Abdullah Al Arafat; Deniz Najafi; Akhlak Mahmood; Mamshad Nayeem Rizve; Mohaiminul Al Nahian; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (CVPR, 2025)

Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Shaahin Angizi; Adnan Siraj Rakin (DATE, 2025)

How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks? - Abeer Matar A Almalky; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (ACM Great Lakes Symposium on VLSI, 2025)

Assessing the Potential of Escalating RowHammer Attack Distance to Bypass-Counter-Based Defenses. - Ranyang Zhou; Jacqueline T. Liu; Sabbir Ahmed; Nakul Kochar; Adnan Siraj Rakin; Shaahin Angizi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer. - Ranyang Zhou; Abeer Matar A Almalky; Gamana Aragonda; Sabbir Ahmed; Filip Roth Trønnes-Christensen; Adnan Siraj Rakin; Shaahin Angizi (CoRR, 2025)