Showing eess.SYShow all
3 papers · 1 filter
eess.SY2026
Information-Driven Active Perception for k-step Predictive Safety Monitoring
Sumukha Udupa, Jie Fu
This work studies the synthesis of active perception policies for predictive safety monitoring in partially observable stochastic systems. Operating under strict sensing and commun…
eess.SY2025
Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision Processes
Chongyang Shi, Sumukha Udupa, Michael R. Dorothy +2
Opacity, or non-interference, is a property ensuring that an external observer cannot infer confidential information (the "secret") from system observations. We introduce an inform…
eess.SY2025
Synthesis of Dynamic Masks for Information-Theoretic Opacity in Stochastic Systems
Sumukha Udupa, Chongyang Shi, Jie Fu
In this work, we investigate the synthesis of dynamic information releasing mechanisms, referred to as ''masks'', to minimize information leakage from a stochastic system to an ext…