4 citations · 6 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…