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.

Claude Carlet, Stjepan Picek (2023), On the exponents of APN power functions and Sidon sets, SUM-free sets, and Dickson Polynomials, In Advances in Mathematics of Communications Volume 17 p.1507-1525.

Jing Xu, Gorka Abad, Stjepan Picek (2023), Rethinking the Trigger-injecting Position in Graph Backdoor Attack, In Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN) p.1-8, IEEE.

Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina (2023), SoK: Deep Learning-based Physical Side-channel Analysis, In ACM Computing Surveys Volume 55.

Guilherme Perin, Lichao Wu, Stjepan Picek (2023), The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA, In Algorithms Volume 16.

Marco Arazzi, Mauro Conti, Antonino Nocera, Stjepan Picek (2023), Turning Privacy-preserving Mechanisms against Federated Learning, In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security p.1482-1495, Association for Computing Machinery (ACM).

Jing Xu, Stefanos Koffas, Oǧuzhan Ersoy, Stjepan Picek (2023), Watermarking Graph Neural Networks based on Backdoor Attacks, In Proceedings - 8th IEEE European Symposium on Security and Privacy, Euro S and P 2023 p.1179-1197, IEEE.