Search Results for author: Shovan Maity

Found 4 papers, 0 papers with code

A Quantitative Analysis of Physical Security and Path Loss With Frequency for IBOB Channel

no code implementations27 Apr 2022 Arunashish Datta, Mayukh Nath, Baibhab Chatterjee, Shovan Maity, Shreyas Sen

Security vulnerabilities demonstrated in implantable medical devices have opened the door for research into physically secure and low power communication methodologies.

Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons

no code implementations13 Jun 2018 Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen

In this work, we will analyze, compare and contrast existing neuron architectures with a proposed mixed-signal neuron (MS-N) in terms of performance, power and noise, thereby demonstrating the applicability of the proposed mixed-signal neuron for achieving extreme energy-efficiency in neuromorphic computing.

General Classification

RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning

no code implementations3 May 2018 Baibhab Chatterjee, Debayan Das, Shovan Maity, Shreyas Sen

Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message authentication codes (HMAC), which suffer from key recovery attacks.

BIG-bench Machine Learning

An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems

no code implementations24 Oct 2017 Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen

This work presents the design and analysis of a mixed-signal neuron (MS-N) for convolutional neural networks (CNN) and compares its performance with a digital neuron (Dig-N) in terms of operating frequency, power and noise.

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