Kevin Immanuel Gubbi

According to our database, Kevin Immanuel Gubbi authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

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., May, 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

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

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

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