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Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Although there have been a number of adversarial attacks on ML-based wireless systems, the existing methods do not provide a comprehensive view including multi-modality of the source data, common physical layer components, and wireless domain constraints.
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
We theoretically prove the robustness of our algorithm against data and model poisoning attacks in a decentralized linear regression setting.
Information Design for a Non-atomic Service Scheduling Game
We study an information design problem for a non-atomic service scheduling game.
Joint Information and Mechanism Design for Queues with Heterogeneous Users
We combine mechanism design and information design to study a queuing system with heterogeneous users.
Do Informational Cascades Happen with Non-myopic Agents?
We provide a characterization of perfect Bayesian equilibria (PBE) with forward-looking strategies through a fixed-point equation of dimensionality that grows only quadratically with the number of players.
