About Me

I’m Nancirose Piazza, I am currently a Ph.D candidate at the University of New Haven in the Engineering and Applied Science Program. I graduated Sacred Heart University with an Bachelor of Science in Mathematics and graduated University of New Haven with a Masters in Data Science.

Research Area

My research is on the topics of deception and deception mitigation in Multi-Agent Systems, primarily through Machine Learning models and decision-making frameworks. I investigate conditions of which emergent deception may emerge in various frameworks and propose mitigation and defenses against different types of deception.

Publications

Google Scholar

Piazza, Nancirose; Behzadan, Vahid

Limitations of Theory of Mind Defenses against Deception in Multi-Agent Systems Conference Forthcoming

AAMAS, Forthcoming.

Piazza, N., Behzadan, V. (2023). A Theory of Mind Approach
as Test-Time Mitigation Against Emergent Adversarial Communication: Ex-
tended Abstract. In Proc. of the 22nd International Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2023), London, United Kingdom,
May 29 – June 2, 2023, IFAAMAS

Piazza, N., Behzadan V. (2022) Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP). International Conference on Autonomous Agents and Multiagent Systems Workshop – Diversity, Belonging, Equity, and Inclusion (AIDBEI 2022@AAMAS). May 11, 2022. Proceedings of Machine Learning Research (PMLR)

Faghan, Y., Piazza, N., Behzadan, V., & Fathi, A. (2020). Adversarial Attacks on Deep Algorithmic Trading Policies. Conference on Applied Machine Learning for Information Security (CAMLIS 2021), Arlington, VA, United States. November 4 – November 5, 2021.

Piazza, N. (2020). Classification Between Machine Translated Text and Original Text By Part Of Speech Tagging Representation. IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2020). Sydney, Australia. October 6 – 9, 2020.

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