collaborators

5 papers

cs.LG2026

CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data

S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1

Cardiometabolic diseases remain among the most persistent drivers of preventable morbidity because diabetes, hypertension, and cardiovascular disease frequently co-occur and share…

cs.LG2026

EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning

S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha

Retrieval-augmented generation grounds large language models in external evidence, but most pipelines still treat retrieved passages as deterministic and mutually consistent contex…

cs.CR2026

NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations

Ruksat Khan Shayoni, Muhammad Faraz Shoaib, S M Asif Hossain +1

Tool-using large language model (LLM) agents are attractive for network operations, but tickets, alerts, logs, runbooks, and ChatOps messages can carry indirect prompt injections.…

cs.CY2026

EduGuard: A Safe RAG-Based LLM Tutor for Programming Education

S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1

Generative AI (GenAI) is increasingly used by students for programming explanation, debugging, and assignment support. Yet unrestricted large language model (LLM) tutors can halluc…

cs.CR2025

A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks

S M Asif Hossain, Ruksat Khan Shayoni, Mohd Ruhul Ameen +3

Prompt injection attacks represent a major vulnerability in Large Language Model (LLM) deployments, where malicious instructions embedded in user inputs can override system prompts…