5 papers
The Quantum Sieve Tracer: A Hybrid Framework for Layer-Wise Activation Tracing in Large Language Models
Jonathan Pan
Mechanistic interpretability aims to reverse-engineer the internal computations of Large Language Models (LLMs), yet separating sparse semantic signals from high-dimensional polyse…
Conversational Context Classification: A Representation Engineering Approach
Jonathan Pan
The increasing prevalence of Large Language Models (LLMs) demands effective safeguards for their operation, particularly concerning their tendency to generate out-of-context respon…
Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models
Huan Lin Oh, Jay Yong Jun Jie, Mandy Lee Ling Siu +1
Cybersecurity post-incident reviews are essential for identifying control failures and improving organisational resilience, yet they remain labour-intensive, time-consuming, and he…
Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial States
Xin Wei Chia, Swee Liang Wong, Jonathan Pan
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, yet they remain vulnerable to adversarial manipulations such as jailbreaking via prompt…
Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
Jia Hui Chin, Pu Zhang, Yu Xin Cheong +1
In the current rapidly changing digital environment, businesses are under constant stress to ensure that their systems are secured. Security audits help to maintain a strong securi…