Mahdi Zahedi, Taha Shahroodi, Stephan Wong, Said Hamdioui (2023), Efficient Signed Arithmetic Multiplication on Memristor-based Crossbar, In IEEE Access Volume 11 p.33964-33978.

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.

Taha Shahroodi, Rafaela Cardoso, Mahdi Zahedi, Stephan Wong, Alberto Bosio, Ian O'Connor, Said Hamdioui (2023), Lightspeed Binary Neural Networks using Optical Phase-Change Materials, In Proceedings of the 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) p.1-2, IEEE.

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.

Fiske Schijlen, Lichao Wu, Luca Mariot (2023), NASCTY: Neuroevolution to Attack Side-Channel Leakages Yielding Convolutional Neural Networks, In Mathematics Volume 11.

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.

Hassen Aziza, Cristian Zambelli, Said Hamdioui, Sumit Diware, Rajendra Bishnoi, Anteneh Gebregiorgis (2023), On the Reliability of RRAM-Based Neural Networks, In Proceedings of the 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), IEEE.