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20182026
most citedDistributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach

14 citations · 45 across the 37 of their papers we have counts for

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Showing 2025Show all

9 papers · 1 filter

cs.AI2025

Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control

Yoon Pyo Lee, Samrendra Roy, Kazuma Kobayashi +5

The prevailing paradigm in AI for physical systems: scaling general-purpose foundation models toward universal multimodal reasoning, confronts a barrier at the control interface. F…

cs.LG2025

Real-Time Personalized Content Adaptation through Matrix Factorization and Context-Aware Federated Learning

Sai Puppala, Ismail Hossain, Md Jahangir Alam +1

Our study presents a multifaceted approach to enhancing user interaction and content relevance in social media platforms through a federated learning framework. We introduce person…

cs.RO2025

Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography

Sai Puppala, Ismail Hossain, Jahangir Alam +1

The integration of advanced robotics in nuclear power plants (NPPs) presents a transformative opportunity to enhance safety, efficiency, and environmental monitoring in high-stakes…

cs.LG2025

LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning

Sai Puppala, Ismail Hossain, Md Jahangir Alam +2

We propose a method that uses large language models to assist graph machine learning under personalization and privacy constraints. The approach combines data augmentation for spar…

cs.LG2025

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization

Sai Puppala, Ismail Hossain, Md Jahangir Alam +1

Personalized federated learning (PFL) often fails under label skew and non-stationarity because a single global parameterization ignores client-specific geometry. We introduce VGM$…

cs.CR2025

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning

Ismail Hossain, Sai Puppala, Md Jahangir Alam +1

Scams exploiting real-time social engineering -- such as phishing, impersonation, and phone fraud -- remain a persistent and evolving threat across digital platforms. Existing defe…

cs.SI2025

EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media

Ismail Hossain, Sai Puppala, Md Jahangir Alam +1

Social media platforms serve as a significant medium for sharing personal emotions, daily activities, and various life events, ensuring individuals stay informed about the latest d…

cs.SI2025★ 2 cited

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis

Md Jahangir Alam, Ismail Hossain, Sai Puppala +1

The rise of social networking platforms has amplified privacy threats as users increasingly share sensitive information across profiles, content, and social connections. We present…

cs.CR2025

LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis

Md Ahsanul Haque, Ismail Hossain, Md Mahmuduzzaman Kamol +4

Machine learning (ML)-based malware detection systems often fail to account for the dynamic nature of real-world training and test data distributions. In practice, these distributi…