Lejla Batina, Shivam Bhasin, Dirmanto Jap, Stjepan Picek (2022), SCA Strikes Back: Reverse Engineering Neural Network Architectures using Side Channels, In IEEE Design and Test Volume 39 p.7-14.

Lichao Wu, Guilherme Perin, Stjepan Picek (2022), The Best of Two Worlds: Deep Learning-assisted Template Attack, In IACR Transactions on Cryptographic Hardware and Embedded Systems Volume 2022 p.413-437.

Marina Krcek, Thomas Ordas, Daniele Fronte, Stjepan Picek (2022), The More You Know: Improving Laser Fault Injection with Prior Knowledge, L. Trinh (Eds.), In Proceedings of the 2022 Workshop on Fault Detection and Tolerance in Cryptography (FDTC) p.18-29, IEEE.

Azade Rezaeezade, Guilherme Perin, Stjepan Picek (2022), To Overfit, or Not to Overfit: Improving the Performance of Deep Learning-Based SCA, Lejla Batina, Joan Daemen (Eds.), In Progress in Cryptology - AFRICACRYPT 2022 - 13th International Conference on Cryptology in Africa, AFRICACRYPT 2022, Proceedings p.397-421, Springer.

Jing Xu, Gongliu Yang, Yiding Sun, Stjepan Picek (2021), A Multi-Sensor Information Fusion Method Based on Factor Graph for Integrated Navigation System, In IEEE Access Volume 9 p.12044-12054.

Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli (2021), CoInGP: Convolutional inpainting with genetic programming, F. Chicano, K. Krawiec (Eds.), In GECCO 2021 p.795-803, Association for Computing Machinery (ACM).

Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Alberto Leporati (2021), Evolutionary algorithms for designing reversible cellular automata, In GENETIC PROGRAMMING AND EVOLVABLE MACHINES Volume 22 p.429-461.

Claude Carlet, Domagoj Jakobovic, Stjepan Picek (2021), Evolutionary algorithms-assisted construction of cryptographic boolean functions, In GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference p.565-573, Association for Computing Machinery (ACM).

Jing Xu, Minhui Xue, Stjepan Picek (2021), Explainability-based Backdoor Attacks against Graph Neural Networks, In WiseML 2021 p.31-36, Association for Computing Machinery (ACM).

Daan Valk, Stjepan Picek, Shivam Bhasin (2021), Kilroy Was Here: The First Step Towards Explainability of Neural Networks in Profiled Side-Channel Analysis, Guido Marco Bertoni, Francesco Regazzoni (Eds.), In Constructive Side-Channel Analysis and Secure Design - 11th International Workshop, COSADE 2020, Revised Selected Papers Volume 12244 p.175-199, Springer.