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04/27/2023
Holo-Block Chain: A Hybrid Approach for Secured IoT Healthcare Ecosystem
The Internet-of-Things (IoT) is an imminent and corporal technology that...
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08/29/2022
Reliable and Resilient AI and IoT-based Personalised Healthcare Services: A Survey
Recent technological and economic developments have transformed the heal...
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08/16/2022
EXTENT: Enabling Approximation-Oriented Energy Efficient STT-RAM Write Circuit
Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interes...
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08/02/2022
SMART: Investigating the Impact of Threshold Voltage Suppression in an In-SRAM Multiplication/Accumulation Accelerator for Accuracy Improvement in 65 nm CMOS Technology
State-of-the-art in-memory computation has recently emerged as the most ...
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07/24/2022
On the Validation of Multi-Level Personalised Health Condition Model
This paper presents a verification-based methodology to validate the mod...
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04/15/2022
AID: Accuracy Improvement of Analog Discharge-Based in-SRAM Multiplication Accelerator
This paper presents a novel circuit (AID) to improve the accuracy of an ...
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09/07/2021
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables
In this work, we propose the BioNetExplorer framework to systematically ...
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12/09/2020
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
Embedded systems have proliferated in various consumer and industrial ap...
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01/29/2019
RED-Attack: Resource Efficient Decision based Attack for Machine Learning
Due to data dependency and model leakage properties, Deep Neural Network...
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11/19/2018
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors
Reliability has emerged as a key topic of interest for researchers aroun...
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11/19/2018
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors
Reliability has emerged as a key topic of interest for researchers aroun...
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11/05/2018
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint
Conventional Hardware Trojan (HT) detection techniques are based on the ...
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11/05/2018
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
The exponential increase in dependencies between the cyber and physical ...
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11/05/2018
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits
Security vulnerability analysis of Integrated Circuits using conventiona...
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11/04/2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Deep neural networks (DNN)-based machine learning (ML) algorithms have r...
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11/04/2018
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks
Recent studies have shown that slight perturbations in the input data ca...
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11/04/2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Deep Neural Networks (DNNs) have recently been shown vulnerable to adver...
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11/02/2018
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles
Due to big data analysis ability, machine learning (ML) algorithms are b...
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10/30/2018
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks
The state-of-the-art accelerators for Convolutional Neural Networks (CNN...
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10/27/2018