11 citations · 32 across the 16 of their papers we have counts for
6 papers · 1 filter
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
Muhammad Usman Shahid, Chuadhry Mujeeb Ahmed, Rajiv Ranjan
The security of code generated by large language models (LLMs) is a significant concern, as studies indicate that such code often contains vulnerabilities and lacks essential defen…
ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3
Data-driven fault diagnosis models for smart grids are usually trained once on a fixed dataset, whereas in operation new fault types appear and monitoring is extended to new grid z…
WaveVerif: Acoustic Side-Channel based Verification of Robotic Workflows
Zeynep Yasemin Erdogan, Shishir Nagaraja, Chuadhry Mujeeb Ahmed +1
In this paper, we present a framework that uses acoustic side-channel analysis (ASCA) to monitor and verify whether a robot correctly executes its intended commands. We develop and…
Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Aditya Mathur +1
This work focuses on validation of attack pattern mining in the context of Industrial Control System (ICS) security. A comprehensive security assessment of an ICS requires generati…
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Abdul Mustafa, Muhammad Talha Khan, Muhammad Azmi Umer +2
Machine learning (ML)-based intrusion detection systems (IDS) are vulnerable to adversarial attacks. It is crucial for an IDS to learn to recognize adversarial examples before mali…
AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System
Chuadhry Mujeeb Ahmed
Malicious examples are crucial for evaluating the robustness of machine learning algorithms under attack, particularly in Industrial Control Systems (ICS). However, collecting norm…