Kevin Immanuel Gubbi

According to our database, Kevin Immanuel Gubbi authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, Pratik Satam, Soheil Salehi

CoRR, 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

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

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

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

Proceedings of the 20th IEEE Interregional NEWCAS Conference, 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

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022