ML for Attack and Defense of PUFs: Current Status and Future Directions. - Mieszko Ferens; Edlira Dushku; Sokol Kosta (DCAI (2), 2023)

Securing PUFs Against ML Modeling Attacks via an Efficient Challenge-Response Approach. - Mieszko Ferens; Edlira Dushku; Sokol Kosta (INFOCOM Workshops, 2023)

MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse. - Michele Zanitti; Mieszko Ferens; Alberto Ferrarin; Francesco Trovò; Vanja Miskovic; Arsela Prelaj; Ming Shen 001; Sokol Kosta (MetaCom, 2023)

Securing PUFs via a Predictive Adversarial Machine Learning System by Modeling of Attackers. - Mieszko Ferens; Edlira Dushku; Shreyas Srinivasa; Sokol Kosta (ACSAC, 2024)

STEROCEN: Simulation and Training Environment for Resource Orchestration in Cloud-Edge Networks. - Mieszko Ferens; Diego Hortelano; Ignacio de Miguel; Ramón J. Durán Barroso; Sokol Kosta (NoF, 2024)

On the Feasibility of Deep Reinforcement Learning for Modeling Delay-Based PUFs. - Mieszko Ferens; Edlira Dushku; Sokol Kosta (WiMob, 2024)

When Random Is Bad: Selective CRPs for Protecting PUFs Against Modeling Attacks. - Mieszko Ferens; Edlira Dushku; Sokol Kosta (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)