29 citations · 108 across the 11 of their papers we have counts for
12 papers
Unlocking Hardware Security Assurance: The Potential of LLMs
Xingyu Meng, Amisha Srivastava, Ayush Arunachalam +5
System-on-Chips (SoCs) form the crux of modern computing systems. SoCs enable high-level integration through the utilization of multiple Intellectual Property (IP) cores. However,…
Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling
Ayush Arunachalam, S. Novia Berriel, Parag Banerjee +1
Over the recent years, there has been an extensive adoption of Machine Learning (ML) in a plethora of real-world applications, ranging from computer vision to data mining and drug…
Special Session: Reliability Analysis for ML/AI Hardware
Shamik Kundu, Kanad Basu, Mehdi Sadi +4
Artificial intelligence (AI) and Machine Learning (ML) are becoming pervasive in today's applications, such as autonomous vehicles, healthcare, aerospace, cybersecurity, and many c…
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…
Security Assessment of Interposer-based Chiplet Integration
Mohammed Shayan, Kanad Basu, Ramesh Karri
With transistor scaling reaching its limits, interposer-based integration of dies (chiplets) is gaining traction. Such an interposer-based integration enables finer and tighter int…
Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids
Abraham Peedikayil Kuruvila, Ioannis Zografopoulos, Kanad Basu +1
The electric grid modernization effort relies on the extensive deployment of microgrid (MG) systems. MGs integrate renewable resources and energy storage systems, allowing to gener…