activity
20152026
most citedAnomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

335 citations · 488 across the 26 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CR2025

Developing a Strong CPS Defender: An Evolutionary Approach

Qingyuan Hu, Christopher M. Poskitt, Jun Sun +1

Cyber-physical systems (CPSs) are used extensively in critical infrastructure, underscoring the need for anomaly detection systems that are able to catch even the most motivated at…

cs.SE20251 cited

Designing for Novice Debuggers: A Pilot Study on an AI-Assisted Debugging Tool

Oka Kurniawan, Erick Chandra, Christopher M. Poskitt +3

Debugging is a fundamental skill that novice programmers must develop. Numerous tools have been created to assist novice programmers in this process. Recently, large language model…

cs.CR2025

Bayesian and Multi-Objective Decision Support for Incident Mitigation in Cyber-Physical Systems

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

Cyber-physical systems increasingly rely on interconnected physical and digital systems whose security incidents can escalate rapidly into safety and operational failures. Existing…

cs.AI2025

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Haoyu Wang, Christopher M. Poskitt, Jiali Wei +1

Large Language Model (LLM) agents increasingly operate across domains such as robotics, virtual assistants, and web automation. However, their stochastic decision-making introduces…

cs.SE20254 cited

Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach

Ivan Tan, Wei Minn, Christopher M. Poskitt +2

UAVs, commonly referred to as drones, have witnessed a remarkable surge in popularity due to their versatile applications. These cyber-physical systems depend on multiple sensor in…

cs.AI2025

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Haoyu Wang, Christopher M. Poskitt, Jun Sun

Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, inclu…