4 citations · 4 across the 4 of their papers we have counts for
4 papers
A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots
Gulshan Saleem, Nisar Ahmed, Muhammad Imran Zaman +2
Prompt injection is ranked as the most critical vulnerability in large language model (LLM) deployments by the OWASP Top 10 for LLM Applications, yet existing defenses operate at i…
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution
Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan +1
LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by unsupported indicators and insufficient code-level grounding…
Do LLMs Know They Are Being Tested? Evaluation Awareness and Incentive-Sensitive Failures in GPT-OSS-20B
Nisar Ahmed, Muhammad Imran Zaman, Gulshan Saleem +1
Benchmarks for large language models (LLMs) often rely on rubric-scented prompts that request visible reasoning and strict formatting, whereas real deployments demand terse, contra…
V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams
Muhammad Waqas Ashraf, Ali Hassan, Imad Ali Shah
This paper introduces a real-time Vehicle Collision Avoidance System (V-CAS) designed to enhance vehicle safety through adaptive braking based on environmental perception. V-CAS le…