Khaza Anuarul Hoque | DeepAI

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∙ 02/05/2023

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI

Cybersickness is a common ailment associated with virtual reality (VR) u...

0 Ripan Kumar Kundu, et al. ∙

∙ 02/03/2023

VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality

A plethora of recent research has proposed several automated methods bas...

0 Ripan Kumar Kundu, et al. ∙

∙ 01/25/2023

RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks

The state-of-the-art predictive maintenance (PdM) techniques have shown ...

4 Ayesha Siddique, et al. ∙

∙ 01/12/2023

Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults

Approximate computing is known for enhancing deep neural network acceler...

0 Ayesha Siddique, et al. ∙

∙ 01/12/2023

Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization

Spiking neural networks have made breakthroughs in computer vision by le...

10 Ayesha Siddique, et al. ∙

∙ 01/12/2023

Security-Aware Approximate Spiking Neural Networks

Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both ...

5 Syed Tihaam Ahmad, et al. ∙

∙ 09/12/2022

TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning

Cybersickness can be characterized by nausea, vertigo, headache, eye str...

0 Ripan Kumar Kundu, et al. ∙

∙ 12/02/2021

Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?

Approximate computing is known for its effectiveness in improvising the ...

0 Ayesha Siddique, et al. ∙

∙ 08/27/2021

Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments

Social virtual reality learning environments (VRLEs) provide immersive e...

0 Samaikya Valluripally, et al. ∙

∙ 01/08/2021

Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators

Systolic array-based deep neural network (DNN) accelerators have recentl...

4 Ayesha Siddique, et al. ∙

∙ 09/24/2020

Adversarial Examples in Deep Learning for Multivariate Time Series Regression

Multivariate time series (MTS) regression tasks are common in many real-...

0 Gautam Raj Mode, et al. ∙

∙ 09/21/2020

Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)

In manufacturing, unexpected failures are considered a primary operation...

0 Gautam Raj Mode, et al. ∙

∙ 06/05/2020

High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators

The advent of data-driven real-time applications requires the implementa...

0 Shamik Kundu, et al. ∙

∙ 11/08/2019

Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments

Social Virtual Reality Learning Environment (VRLE) is a novel edge compu...

0 Samaikya Valluripally, et al. ∙

∙ 10/03/2019

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics (Extended Version)

Industry 4.0 is the latest industrial revolution primarily merging autom...

0 Gautam Raj Mode, et al. ∙

∙ 10/03/2019

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Industry 4.0 is the latest industrial revolution primarily merging autom...

0 Gautam Raj Mode, et al. ∙

∙ 11/29/2018

Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications

Social Virtual Reality based Learning Environments (VRLEs) such as vSoci...

0 Aniket Gulhane, et al. ∙

∙ 06/24/2018

Cyber-Physical Specification Mismatches

Embedded systems use increasingly complex software and are evolving into...

0 Luan V. Nguyen, et al. ∙

∙ 01/12/2018

Efficient Probabilistic Model Checking of Smart Building Maintenance using Fault Maintenance Trees

Cyber-physical systems, like Smart Buildings and power plants, have to m...

0 Nathalie Cauchi, et al. ∙

∙ 01/11/2018

Formal Dependability Modeling and Optimization of Scrubbed-Partitioned TMR for SRAM-based FPGAs

SRAM-based FPGAs are popular in the aerospace industry for their field p...

0 Khaza Anuarul Hoque, et al. ∙

∙ 01/12/2017

Formal Analysis of SEU Mitigation for Early Dependability and Performability Analysis of FPGA-based Space Applications

SRAM-based FPGAs are increasingly popular in the aerospace industry due ...

0 Khaza Anuarul Hoque, et al. ∙