3 papers
quant-ph2025
Adversarial Robustness in Distributed Quantum Machine Learning
Pouya Kananian, Hans-Arno Jacobsen
Studying adversarial robustness of quantum machine learning (QML) models is essential in order to understand their potential advantages over classical models and build trustworthy…
cs.ET2025
Adversarial Robustness of Partitioned Quantum Classifiers
Pouya Kananian, Hans-Arno Jacobsen
Adversarial robustness in quantum classifiers is a critical area of study, providing insights into their performance compared to classical models and uncovering potential advantage…
cs.GT2024
Asymptotically Fair and Truthful Allocation of Public Goods
Pouya Kananian, Arnesh Sujanani, Seyed Majid Zahedi
We study the fair and truthful allocation of m divisible public items among n agents, each with distinct preferences for the items. To aggregate agents' preferences fairly, we focu…