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cs.IT2024

Multi-terminal Strong Coordination subject to Secrecy Constraints

Viswanathan Ramachandran, Tobias J. Oechtering, Mikael Skoglund

A fundamental problem in decentralized networked systems is to coordinate actions of different agents so that they reach a state of agreement. In such applications, it is additiona…

cs.CR2024

Rethinking Disclosure Prevention with Pointwise Maximal Leakage

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering +1

This paper introduces a paradigm shift in the way privacy is defined, driven by a novel interpretation of the fundamental result of Dwork and Naor about the impossibility of absolu…

cs.LG2024

Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality

Raghav Bongole, Amaury Gouverneur, Borja Rodríguez-Gálvez +2

We study agents acting in an unknown environment where the agent's goal is to find a robust policy. We consider robust policies as policies that achieve high cumulative rewards for…

cs.IT2024

Extremal Mechanisms for Pointwise Maximal Leakage

Leonhard Grosse, Sara Saeidian, Tobias Oechtering

Data publishing under privacy constraints can be achieved with mechanisms that add randomness to data points when released to an untrusted party, thereby decreasing the data's util…

math.OC2024

Optimal Gaussian Strategies for Vector-valued Witsenhausen Counterexample with Non-causal State Estimator

Mengyuan Zhao, Tobias J. Oechtering, Maël Le Treust

In this study, we investigate a vector-valued Witsenhausen model where the second decision maker (DM) acquires a vector of observations before selecting a vector of estimations. He…

cs.IT2024

Causal Vector-valued Witsenhausen Counterexamples with Feedback

Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering

We study the continuous vector-valued Witsenhausen counterexample through the lens of empirical coordination coding. We characterize the region of achievable pairs of costs in thre…