most citedA Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem

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

collaborators

5 papers

cs.CR2025

CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs

Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +2

Large Language Models (LLMs) are often fine-tuned to adapt their general-purpose knowledge to specific tasks and domains such as cyber threat intelligence (CTI). Fine-tuning is mos…

cs.CR2025

Privacy-Preserving IoT in Connected Aircraft Cabin

Nilesh Vyas, Benjamin Zhao, Aygün Baltaci +6

The proliferation of IoT devices in shared, multi-vendor environments like the modern aircraft cabin creates a fundamental conflict between the promise of data collaboration and th…

cs.CR2025★ 1 cited

A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem

Sunday Oyinlola Ogundoyin, Muhammad Ikram, Hassan Jameel Asghar +2

Millions of users leverage generative pretrained transformer (GPT)-based language models developed by leading model providers for a wide range of tasks. To support enhanced user in…

cs.CR2024

On the Robustness of Malware Detectors to Adversarial Samples

Muhammad Salman, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +3

Adversarial examples add imperceptible alterations to inputs with the objective to induce misclassification in machine learning models. They have been demonstrated to pose signific…

cs.SI2024

SenTopX: Benchmark for User Sentiment on Various Topics

Hina Qayyum, Muhammad Ikram, Benjamin Zhao +3

Toxic sentiment analysis on Twitter (X) often focuses on specific topics and events such as politics and elections. Datasets of toxic users in such research are typically gathered…