16 citations · 16 across the 5 of their papers we have counts for
5 papers
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
Zhepeng Wang, Yi Sheng, Nirajan Koirala +4
Benefiting from cloud computing, today's early-stage quantum computers can be remotely accessed via the cloud services, known as Quantum-as-a-Service (QaaS). However, it poses a hi…
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee +7
Given the widespread use of safety-critical applications in the automotive field, it is crucial to ensure the Functional Safety (FuSa) of circuits and components within automotive…
SCAR: Power Side-Channel Analysis at RTL-Level
Amisha Srivastava, Sanjay Das, Navnil Choudhury +4
Power side-channel attacks exploit the dynamic power consumption of cryptographic operations to leak sensitive information of encryption hardware. Therefore, it is necessary to con…
QuBEC: Boosting Equivalence Checking for Quantum Circuits with QEC Embedding
Chao Lu, Navnil Choudhury, Utsav Banerjee +2
Quantum computing has proven to be capable of accelerating many algorithms by performing tasks that classical computers cannot. Currently, Noisy Intermediate Scale Quantum (NISQ) m…
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,…