52 citations · 194 across the 34 of their papers we have counts for
9 papers · 1 filter
Adversarial VR: An Open-Source Testbed for Evaluating Adversarial Robustness of VR Cybersickness Detection and Mitigation
Istiak Ahmed, Ripan Kumar Kundu, Khaza Anuarul Hoque
Deep learning (DL)-based automated cybersickness detection methods, along with adaptive mitigation techniques, can enhance user comfort and interaction. However, recent studies sho…
PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy
Ripan Kumar Kundu, Istiak Ahmed, Khaza Anuarul Hoque
The convergence of artificial AI and XR technologies (AI XR) promises innovative applications across many domains. However, the sensitive nature of data (e.g., eye-tracking) used i…
FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning
Khurram Khalil, Khaza Anuarul Hoque
Generative Artificial Intelligence models, such as Large Language Models (LLMs) and Large Vision Models (VLMs), exhibit state-of-the-art performance but remain vulnerable to hardwa…
Securing Virtual Reality Experiences: Unveiling and Tackling Cybersickness Attacks with Explainable AI
Ripan Kumar Kundu, Matthew Denton, Genova Mongalo +2
The synergy between virtual reality (VR) and artificial intelligence (AI), specifically deep learning (DL)-based cybersickness detection models, has ushered in unprecedented advanc…
Formal Verification for Blockchain-based Insurance Claims Processing
Roshan Lal Neupane, Ernest Bonnah, Bishnu Bhusal +3
Insurance claims processing involves multi-domain entities and multi-source data, along with a number of human-agent interactions. Use of Blockchain technology-based platform can s…
Security-Aware Approximate Spiking Neural Networks
Syed Tihaam Ahmad, Ayesha Siddique, Khaza Anuarul Hoque
Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both known for their susceptibility to adversarial attacks. Therefore, researchers in the recent past have extens…
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
Ayesha Siddique, Ripan Kumar Kundu, Gautam Raj Mode +1
The state-of-the-art predictive maintenance (PdM) techniques have shown great success in reducing maintenance costs and downtime of complicated machines while increasing overall pr…
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Ayesha Siddique, Khaza Anuarul Hoque
Approximate computing is known for its effectiveness in improvising the energy efficiency of deep neural network (DNN) accelerators at the cost of slight accuracy loss. Very recent…
Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments
Samaikya Valluripally, Aniket Gulhane, Reshmi Mitra +2
Social Virtual Reality Learning Environment (VRLE) is a novel edge computing platform for collaboration amongst distributed users. Given that VRLEs are used for critical applicatio…