Zobrazeno 1 - 10
of 766
pro vyhledávání: '"Mishra, Prabhat"'
Autor:
Andrews, Emma, Mishra, Prabhat
Image classification is an essential part of computer vision which assigns a given input image to a specific category based on the similarity evaluation within given criteria. While promising classifiers can be obtained through deep learning models,
Externí odkaz:
http://arxiv.org/abs/2407.04866
This article is devoted to providing a review of mathematical formulations in which Polynomial Chaos Theory (PCT) has been incorporated into stochastic model predictive control (SMPC). In the past decade, PCT has been shown to provide a computational
Externí odkaz:
http://arxiv.org/abs/2406.10734
Autor:
Volya, Daniel, Mishra, Prabhat
We present a benchmarking protocol for universal quantum computers, achieved through the simulation of random dynamical quantum maps. This protocol provides a holistic assessment of system-wide error rates, encapsulating both gate inaccuracies and th
Externí odkaz:
http://arxiv.org/abs/2404.18846
Constrained optimization plays a crucial role in the fields of quantum physics and quantum information science and becomes especially challenging for high-dimensional complex structure problems. One specific issue is that of quantum process tomograph
Externí odkaz:
http://arxiv.org/abs/2404.18840
Data augmentation is widely used to mitigate data bias in the training dataset. However, data augmentation exposes machine learning models to privacy attacks, such as membership inference attacks. In this paper, we propose an effective combination of
Externí odkaz:
http://arxiv.org/abs/2404.13194
Side-channel attacks exploit variations in non-functional behaviors to expose sensitive information across security boundaries. Existing methods leverage side-channels based on power consumption, electromagnetic radiation, silicon substrate coupling,
Externí odkaz:
http://arxiv.org/abs/2403.08132
Autor:
Volya, Daniel, Mishra, Prabhat
Qudit-based quantum computation offers unique advantages over qubit-based systems in terms of noise mitigation capabilities as well as algorithmic complexity improvements. However, the software ecosystem for multi-state quantum systems is severely li
Externí odkaz:
http://arxiv.org/abs/2311.07015
Autor:
Weerasena, Hansika, Mishra, Prabhat
Convolution Neural Networks (CNNs) are widely used in various domains. Recent advances in dataflow-based CNN accelerators have enabled CNN inference in resource-constrained edge devices. These dataflow accelerators utilize inherent data reuse of conv
Externí odkaz:
http://arxiv.org/abs/2311.00579
Autor:
Weerasena, Hansika, Mishra, Prabhat
Network-on-Chip (NoC) is widely used to facilitate communication between components in sophisticated System-on-Chip (SoC) designs. Security of the on-chip communication is crucial because exploiting any vulnerability in shared NoC would be a goldmine
Externí odkaz:
http://arxiv.org/abs/2309.15687
Logic locking and hardware Trojans are two fields in hardware security that have been mostly developed independently from each other. In this paper, we identify the relationship between these two fields. We find that a common structure that exists in
Externí odkaz:
http://arxiv.org/abs/2309.15067