4 citations · 6 across the 13 of their papers we have counts for
14 papers
Q-Capsule: A Localized Capsule-Based Quantum Neural Architecture for Barren Plateau Mitigation
Awal Ahmed Fime, Tasfia Zaman Samiha, Saika Zaman +4
Variational quantum algorithms are often limited by barren plateaus: gradients vanish as circuit size and depth increase, making quantum neural networks difficult to train. We prop…
VetClaw: An Edge-Cloud Multimodal Agentic System for Veterinary Disease Screening
Syed Mhamudul Hasan, Anas AlSobeh, Hussein Zangoti +1
We present VetClaw, an edge-cloud multimodal agentic system for early veterinary disease screening. VetClaw uses a camera module as an edge sensing device and sends captured images…
Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
Syed Mhamudul Hasan, Abdur R. Shahid
Generative AI systems are increasingly deployed as interactive agents in online environments, such as a social network called Moltbook. In Moltbook, large-scale agentic AIs can pos…
Emotion-Aware Clickbait Attack in Social Media
Syed Mhamudul Hasan, Mohd. Farhan Israk Soumik, Abdur R. Shahid
Clickbait is characterized by disproportionately high emotional intensity relative to informational content, often reinforced by specific structural patterns. However, current rese…
From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm?
Syed Mhamudul Hasan, Mohd. Farhan Israk Soumik, Abdur R. Shahid
The rapid proliferation of harmful and emotionally damaging content on social media platforms has intensified concerns regarding societal harm. While content moderation efforts pri…
Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
W. K. M Mithsara, Ning Yang, Ahmed Imteaj +2
The widespread integration of wearable sensing devices in Internet of Things (IoT) ecosystems, particularly in healthcare, smart homes, and industrial applications, has required ro…
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets
Mohd. Farhan Israk Soumik, Syed Mhamudul Hasan, Abdur R. Shahid
The misuse of Large Language Models (LLMs) to infer emotions from text for malicious purposes, known as emotion inference attacks, poses a significant threat to user privacy. In th…
Digital Forensic Investigation of the ChatGPT Windows Application
Malithi Wanniarachchi Kankanamge, Nick McKenna, Santiago Carmona +3
The ChatGPT Windows application offers better user interaction in the Windows operating system (OS) by enhancing productivity and streamlining the workflow of ChatGPT's utilization…
Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning
Syed Mhamudul Hasan, Hussein Zangoti, Iraklis Anagnostopoulos +1
Recent studies have shown that sponge attacks can significantly increase the energy consumption and inference latency of deep neural networks (DNNs). However, prior work has focuse…
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks
Mohd. Farhan Israk Soumik, W. K. M. Mithsara, Abdur R. Shahid +1
The rapid proliferation of speech-enabled technologies, including virtual assistants, video conferencing platforms, and wearable devices, has raised significant privacy concerns, p…
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
Ahmed Imteaj, Md Zarif Hossain, Saika Zaman +1
The rapid advancement and increasing complexity of pretrained models, exemplified by CLIP, offer significant opportunities as well as challenges for Federated Learning (FL), a crit…
Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture
Malithi Wanniarachchi Kankanamge, Syed Mhamudul Hasan, Abdur R. Shahid +1
Cyber-physical systems have become an essential part of the modern healthcare industry. The healthcare cyber-physical systems (HCPS) combine physical and cyber components to improv…
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
Syed Mhamudul Hasan, Abdur R. Shahid, Ahmed Imteaj
The widespread adoption of machine learning (ML) across various industries has raised sustainability concerns due to its substantial energy usage and carbon emissions. This issue b…
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer
Md Zarif Hossain, Ahmed Imteaj
Federated Learning (FL), a distributed machine learning technique has recently experienced tremendous growth in popularity due to its emphasis on user data privacy. However, the di…