What Did Your Adversary Believe?

A preprint of our latest work What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems is now available on arXiv.

An adversary deploys an autonomous filtering and control system that:

1. measures our current state via a noisy sensor,
2. computes a posterior estimate (belief) and
3. takes an action that we can observe.

Based on such observed actions and our knowledge of our state sequence, we aim to estimate the adversary’s past and current beliefs – this forms a foundation for predicting, and counteracting against, future actions.

Have a look, and feel free to send me any comments you may have by email!