2025
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models.
CoRR, June, 2025

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection.
IACR Cryptol. ePrint Arch., 2025

Physical Design-Aware Power Side-Channel Leakage Assessment Framework using Deep Learning.
IACR Cryptol. ePrint Arch., 2025

ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification.
IACR Cryptol. ePrint Arch., 2025

DL-SCADS: Deep Learning-Based Post-Silicon Side-Channel Analysis Using Decomposed Signal.
IACR Cryptol. ePrint Arch., 2025

Special Session: ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification.
Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

2024
SoCureLLM: An LLM-driven Approach for Large-Scale System-on-Chip Security Verification and Policy Generation.
IACR Cryptol. ePrint Arch., 2024

LLM for SoC Security: A Paradigm Shift.
IEEE Access, 2024

Empowering Hardware Security with LLM: The Development of a Vulnerable Hardware Database.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

2022
PQC-SEP: Power Side-channel Evaluation Platform for Post-Quantum Cryptography Algorithms.
IACR Cryptol. ePrint Arch., 2022

Secure Physical Design.
IACR Cryptol. ePrint Arch., 2022

2021
Prediction of instantaneous likeability of advertisements using deep learning.
Cogn. Comput. Syst., 2021

2020
Comprehensive NILM Framework: Device Type Classification and Device Activity Status Monitoring Using Capsule Network.
IEEE Access, 2020