Jing Xu, Stefanos Koffas, Stjepan Picek (2024), Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks, In Digital Threats: Research and Practice.

Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek (2023), Ablation Analysis for Multi-device Deep Learning-based Physical Side-channel Analysis, In IEEE Transactions on Dependable and Secure Computing p.1-12.

Arthur Mercier, Nikita Smolin, Oliver Sihlovec, Stefanos Koffas, Stjepan Picek (2023), Backdoor Pony: Evaluating backdoor attacks and defenses in different domains, In SoftwareX Volume 22.

Huimin Li, Phillip Rieger, Shaza Zeitouni, Stjepan Picek, Ahmad Reza Sadeghi (2023), FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning, L. O’Conner (Eds.), In Proceedings of the 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL) p.271-276, IEEE.

Stefanos Koffas, Luca Pajola, Stjepan Picek, Mauro Conti (2023), Going in Style: Audio Backdoors Through Stylistic Transformations, In Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE.

Lichao Wu, Léo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek (2023), Label Correlation in Deep Learning-Based Side-Channel Analysis, In IEEE Transactions on Information Forensics and Security Volume 18 p.3849-3861.

Huimin Li, Nele Mentens, Stjepan Picek (2023), Maximizing the Potential of Custom RISC-V Vector Extensions for Speeding up SHA-3 Hash Functions, In Proceedings of the 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) p.1-6, IEEE.

Carlos Coello Coello, Marina Krcek, Marko Durasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek (2023), Modeling Strong Physically Unclonable Functions with Metaheuristics, In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion p.719-722, Association for Computing Machinery (ACM).

Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek (2023), No (good) loss no gain: Systematic evaluation of loss functions in deep learning-based side-channel analysis, In Journal of Cryptographic Engineering Volume 13 p.311-324.

Luca Mariot, Stjepan Picek, Radinka Yorgova (2023), On McEliece-Type Cryptosystems Using Self-Dual Codes With Large Minimum Weight, In IEEE Access Volume 11 p.43511-43519.