activity
20222026
most citedMachine Learning-based Automatic Annotation and Detection of COVID-19 Fake News

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems

Sunday Oyinlola Ogundoyin, Muhammad Ikram

Multi-agent LLM systems (MALS) introduce a privacy-leakage problem that conventional sensitivity-based defenses miss, since information disclosed to one authorized agent can propag…

cs.CL2026

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models

Sunday Oyinlola Ogundoyin, Muhammad Ikram, Rahat Masood

Medical large language models (LLMs), including custom medical GPTs (MedGPTs) and open-source models, are increasingly deployed on web platforms to provide clinical guidance. Howev…

cs.CR2026

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks

Michael Robinson, Sajal Halder, Muhammad Ejaz Ahmed +3

Understanding vulnerability propagation is essential for assessing how vulnerabilities spread across components of a software package. This supports more accurate impact analysis a…

cs.CR2025

Unveiling Usability Challenges in Web Privacy Controls

Rahat Masood, Sunday Oyinlola Ogundoyin, Muhammad Ikram +1

With the increasing concerns around privacy and the enforcement of data privacy laws, many websites now provide users with privacy controls. However, locating these controls can be…

cs.SI2024★ 1 cited

BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning

Mohammad Majid Akhtar, Navid Shadman Bhuiyan, Rahat Masood +2

The detection of automated accounts, also known as "social bots", has been an increasingly important concern for online social networks (OSNs). While several methods have been prop…

cs.SI2022★ 1 cited

Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake News

Mohammad Majid Akhtar, Bibhas Sharma, Ishan Karunanayake +3

COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus. Misinformation spread through online social networks (OSN)…