Syed Mhamudul Hasan

Orcid: 0009-0008-7414-9103

According to our database1, Syed Mhamudul Hasan authored at least 15 papers between 2024 and 2026.

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Timeline

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Bibliography

2026
Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook.
CoRR, May, 2026

Emotion-Aware Clickbait Attack in Social Media.
CoRR, April, 2026

From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm?
CoRR, April, 2026

Quantifying Robustness and Sustainability Trade-Off in Federated Adversarial Learning for Cyber-Physical Systems.
IEEE Trans. Sustain. Comput., 2026

2025
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets.
CoRR, June, 2025

Digital Forensic Investigation of the ChatGPT Windows Application.
CoRR, May, 2025

Evaluating Sustainability and Social Costs of Adversarial Training in Machine Learning.
IEEE Consumer Electron. Mag., May, 2025

Carbon Emission Quantification of Machine Learning: A Review.
IEEE Trans. Sustain. Comput., 2025

Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework.
CoRR, 2024

Context-Aware Spatiotemporal Poisoning Attacks on Wearable-Based Activity Recognition.
Proceedings of the IEEE INFOCOM 2024, 2024

Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024


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