3 papers
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…
eess.SY2025
Active Inference through Incentive Design in Markov Decision Processes
Xinyi Wei, Chongyang Shi, Shuo Han +3
We present a method for active inference with partial observations in stochastic systems through incentive design, also known as the leader-follower game. Consider a leader agent w…
eess.SY2024
Active Perception with Initial-State Uncertainty: A Policy Gradient Method
Chongyang Shi, Shuo Han, Michael Dorothy +1
This paper studies the synthesis of an active perception policy that maximizes the information leakage of the initial state in a stochastic system modeled as a hidden Markov model…