activity
20172025
most citedSecurity, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications

52 citations · 194 across the 34 of their papers we have counts for

collaborators
Showing cs.LGShow all

7 papers · 1 filter

cs.LG2025

Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays

Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque

Approximate deep neural networks (AxDNNs) are promising for enhancing energy efficiency in real-world devices. One of the key contributors behind this enhanced energy efficiency in…

cs.LG2023★ 1 cited

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

Ripan Kumar Kundu, Osama Yahia Elsaid, Prasad Calyam +1

A plethora of recent research has proposed several automated methods based on machine learning (ML) and deep learning (DL) to detect cybersickness in Virtual reality (VR). However,…

cs.LG2021

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

Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque

Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…

cs.LG2020★ 3 cited

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

Gautam Raj Mode, Khaza Anuarul Hoque

In manufacturing, unexpected failures are considered a primary operational risk, as they can hinder productivity and can incur huge losses. State-of-the-art Prognostics and Health…

cs.LG2020

Adversarial Examples in Deep Learning for Multivariate Time Series Regression

Gautam Raj Mode, Khaza Anuarul Hoque

Multivariate time series (MTS) regression tasks are common in many real-world data mining applications including finance, cybersecurity, energy, healthcare, prognostics, and many o…

cs.LG2020★ 15 cited

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

Shamik Kundu, Ahmet Soyyiğit, Khaza Anuarul Hoque +1

The advent of data-driven real-time applications requires the implementation of Deep Neural Networks (DNNs) on Machine Learning accelerators. Google's Tensor Processing Unit (TPU)…

cs.LG2019★ 16 cited

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

Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque

Industry 4.0 is the latest industrial revolution primarily merging automation with advanced manufacturing to reduce direct human effort and resources. Predictive maintenance (PdM)…