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.

Leonhard Applis, Annibale Panichella (2023), HasBugs - Handpicked Haskell Bugs, L. O'Conner (Eds.), In Proceedings of the 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) p.223-227, 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.

A. Nadeem, S.E. Verwer, Shanchieh Jay Yang (2023), Learning About the Adversary, Alexander Kott (Eds.), In Autonomous Intelligent Cyber Defense Agent (AICA) p.105-132, Springer.

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.

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.

Antony Bartlett, Cynthia C.S. Liem, Annibale Panichella (2023), On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples, In Proceedings of the 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT) p.1-8, IEEE.

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.

Azqa Nadeem, Sicco Verwer (2023), SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting, Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas (Eds.), In Machine Learning and Knowledge Discovery in Databases. p.157-173, Springer.

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.