Silicon validation of LUT-based logic-locked IP cores. - Gaurav Kolhe; Tyler Sheaves; Kevin Immanuel Gubbi; Tejas Kadale; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Hamid Mahmoodi; Houman Homayoun (DAC, 2022)

LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. - Gaurav Kolhe; Tyler David Sheaves; Kevin Immanuel Gubbi; Soheil Salehi; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Houman Homayoun (DAC, 2022)

Survey of Machine Learning for Electronic Design Automation. - Kevin Immanuel Gubbi; Sayed Aresh Beheshti-Shirazi; Tyler David Sheaves; Soheil Salehi; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2022)

Neuromorphic-Enabled Security for IoT. - Soheil Salehi; Tyler David Sheaves; Kevin Immanuel Gubbi; Sayed Arash Beheshti; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Tinoosh Mohsenin; Houman Homayoun (NEWCAS, 2022)

Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators. - Kevin Immanuel Gubbi; Inderpreet Kaur; Abdallah Hashem; Sai Manoj P. D.; Houman Homayoun; Avesta Sasan; Soheil Salehi (MWSCAS, 2023)

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. - Sayed Aresh Beheshti-Shirazi; Najmeh Nazari; Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Setareh Rafatirad; Houman Homayoun; Avesta Sasan; Sai Manoj P. D. (IEEE Access, 2023)

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion. - Yu-Zheng Lin; Muntasir Mamun; Muhtasim Alam Chowdhury; Shuyu Cai; Mingyu Zhu; Banafsheh Saber Latibari; Kevin Immanuel Gubbi; Najmeh Nazari Bavarsad; Arjun Caputo; Avesta Sasan; Houman Homayoun; Setareh Rafatirad; et al. (CoRR, 2023)

Hardware Trojan Detection Using Machine Learning: A Tutorial. - Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Anirudh Srikanth; Tyler Sheaves; Sayed Arash Beheshti-Shirazi; Sai Manoj PD; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Soheil Salehi (ACM Trans. Embed. Comput. Syst., 2023)

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures. - Najmeh Nazari; Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Muhtasim Alam Chowdhury; Chongzhou Fang; Avesta Sasan; Setareh Rafatirad; Houman Homayoun; Soheil Salehi (ISCAS, 2024)

Transformers: A Security Perspective. - Banafsheh Saber Latibari; Najmeh Nazari; Muhtasim Alam Chowdhury; Kevin Immanuel Gubbi; Chongzhou Fang; Sujan Ghimire; Elahe Hosseini; Hossein Sayadi; Houman Homayoun; Soheil Salehi; Avesta Sasan (IEEE Access, 2024)

Automated Hardware Logic Obfuscation Framework Using GPT. - Banafsheh Saber Latibari; Sujan Ghimire; Muhtasim Alam Chowdhury; Najmeh Nazari; Kevin Immanuel Gubbi; Houman Homayoun; Avesta Sasan; Soheil Salehi (CoRR, 2024)

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach. - Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Muhtasim Alam Chowdhury; Afrooz Jalilzadeh; Erfan Yazdandoost Hamedani; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Soheil Salehi (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

State of Hardware Fuzzing: Current Methods and the Potential of Machine Learning and Large Language Models. - Kevin Immanuel Gubbi; Mohammadnavid Tarighat; Arvind Sudarshan; Inderpreet Kaur; Pavan Dheeraj Kota; Avesta Sasan; Houman Homayoun (ISQED, 2025)