Kevin Immanuel Gubbi

Orcid: 0000-0003-1745-0457

According to our database1, Kevin Immanuel Gubbi authored at least 19 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Stealthy Hardware Trojans in AI Accelerators: Attacks on Transformer, Convolutional Neural Network, and Systolic Architectures.
IEEE Micro, 2026

Closing the Loop: Overcoming the Tool-Feedback Gap in Agentic Hardware Design.
Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

Agentic AI for Chip Design Verification: Failure Modes, Metrics, and Coverage Closure.
Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

HALO: A Typed Multi-View Graph Abstraction for RTL and Netlist Learning.
Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2025
Prompting for Power: Benchmarking Large Language Models for Low-Power RTL Design Generation.
Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

State of Hardware Fuzzing: Current Methods and the Potential of Machine Learning and Large Language Models.
Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

2024
Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Automated Hardware Logic Obfuscation Framework Using GPT.
CoRR, 2024

Transformers: A Security Perspective.
IEEE Access, 2024

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
Hardware Trojan Detection Using Machine Learning: A Tutorial.
ACM Trans. Embed. Comput. Syst., 2023

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion.
CoRR, 2023

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization.
IEEE Access, 2023

Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

2022
Neuromorphic-Enabled Security for IoT.
Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022

Survey of Machine Learning for Electronic Design Automation.
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.
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.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022


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