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Found 10 papers, 0 papers with code
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.
Integrated Cyber-Physical Resiliency for Power Grids under IoT-Enabled Dynamic Botnet Attacks
The attacker aims to exploit this vulnerability to enable a successful physical compromise, while the system operator's goal is to ensure a normal operation of the grid by mitigating cyber risks.
Policy Poisoning in Batch Learning for Linear Quadratic Control Systems via State Manipulation
In this work, we study policy poisoning through state manipulation, also known as sensor spoofing, and focus specifically on the case of an agent forming a control policy through batch learning in a linear-quadratic (LQ) system.
QoS Based Contract Design for Profit Maximization in IoT-Enabled Data Markets
The contract design creates a pricing structure for on-demand sensing data for IoT users.
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Medical image quality assessment (MIQA) is a vital prerequisite in various medical image analysis applications.
Resilient and Distributed Discrete Optimal Transport with Deceptive Adversary: A Game-Theoretic Approach
We further develop a fully distributed algorithm to compute the optimal resilient transport strategies, and show the convergence of the algorithm to a saddle-point equilibrium.
Transactive Resilience in Renewable Microgrids: A Contract-Theoretic Approach
Renewable energy-based microgrids play a critical role in future smart grids.
Assets Defending Differential Games with Partial Information and Selected Observations
Moreover, we show that the observation choices of the defender and the attacker can be decoupled and the Nash observation strategies can be found by solving two independent optimization problems.
Optimal Curing Strategy for Competing Epidemics Spreading over Complex Networks
The designed curing strategy globally optimizes the trade-off between the curing cost and the severity of epidemics in the network.
Locally-Aware Constrained Games on Networks
We use \textit{awareness levels} to capture the scope of the network constraints that players are aware of.
