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Kanad Basu

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud

Apr 20, 2024
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Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning

Apr 02, 2024
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Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling

Jan 01, 2022
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Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators

Jan 08, 2021
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High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators

Jun 05, 2020
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Hardware Trojan Detection Using Controlled Circuit Aging

Apr 21, 2020
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Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator

Feb 17, 2018
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