Guilherme Perin, Łukasz Chmielewski, Stjepan Picek (2020), Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis, In IACR Transactions on Cryptographic Hardware and Embedded Systems Volume 2020 p.337-364.

Leo Weissbart, Łukasz Chmielewski, Stjepan Picek, Lejla Batina (2020), Systematic Side-Channel Analysis of Curve25519 with Machine Learning, In Journal of Hardware and Systems Security Volume 4 p.314–328.

Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli (2020), Towards an evolutionary-based approach for natural language processing, In GECCO 2020 p.985-993, Association for Computing Machinery (ACM).

Karlo Knezevic, Stjepan Picek, Domagoj Jakobovic, Julio Hernandez-Castro (2020), What Is Your MOVE: Modeling Adversarial Network Environments, Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega (Eds.), In Applications of Evolutionary Computation p.260-275, Springer.

Stjepan Picek, Annelie Heuser, Alan Jovic, Lejla Batina (2019), A Systematic Evaluation of Profiling Through Focused Feature Selection, In IEEE Transactions on Very Large Scale Integration (VLSI) Systems Volume 27 p.2802-2815.

Domagoj Jakobovic, Stjepan Picek, Marcella S.R. Martins, Markus Wagner (2019), A characterisation of S-box fitness landscapes in cryptography, In GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference p.285-293, Association for Computing Machinery (ACM).

Stjepan Picek, Karlo Knezevic, Domagoj Jakobovic, Ante Derek (2019), C³PO: Cipher Construction with Cartesian genetic PrOgramming, M. López-Ibáñez (Eds.), In GECCO'19 p.1625-1633, Association for Computing Machinery (ACM).

Lejla Batina, Dirmanto Jap, Shivam Bhasin, Stjepan Picek (2019), CSI NN: Reverse engineering of neural network architectures through electromagnetic side channel, In Proceedings of the 28th USENIX Security Symposium p.515-532, USENIX Association.

Luca Mariot, Stjepan Picek, Alberto Leporati, Domagoj Jakobovic (2019), Cellular automata based S-boxes, In Cryptography and Communications Volume 11 p.41-62.

Stjepan Picek (2019), Challenges in deep learning-based profiled side-channel analysis, Shivam Bhasin, Avi Mendelson, Mridul Nandi (Eds.), In Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings Volume 11947 p.9-12, Springer.