S. Khastgir

Enabling PNT-Aware Scenario-Based Testing of Automated Driving Systems

Probabilistic Adversarial Training

Building on a probabilistic perspective in which adversarial examples arise from the overlap between a distance-based distribution $p_{\mathrm{dis}}$ and a victim-classifier-induced distribution $p_{\mathrm{vic}}$, we start from a simple intuition: adversarial examples become harder to generate when these two distribut...

Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model

A hierarchical Bayesian framework for LLM reliability assessment is extended by relaxing the assumption of independent task outcomes and introducing a Hidden Markov Model to capture sequential dependence in benchmark-constructed interaction sessions, suggesting that ignoring sequential dependence may lead to overconfid...