Vipul Arora, Ileana Buhan, Guilherme Perin, Stjepan Picek (2022), A Tale of Two Boards: On the Influence of Microarchitecture on Side-Channel Leakage, Vincent Grosso, Thomas Pöppelmann (Eds.), In Smart Card Research and Advanced Applications - 20th International Conference, CARDIS 2021, Revised Selected Papers Volume 13173 p.80-96, Springer.
Huimin Li, Nele Mentens, Stjepan Picek (2022), A scalable SIMD RISC-V based processor with customized vector extensions for CRYSTALS-kyber, In Proceedings of the 59th ACM/IEEE Design Automation Conference, DAC 2022 p.733-738, IEEE.
Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek (2022), Can You Hear It? Backdoor Attacks via Ultrasonic Triggers, In WiseML 2022 - Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning p.57-62, Association for Computing Machinery (ACM).
Sudharshan Swaminathan, Łukasz Chmielewski, Guilherme Perin, Stjepan Picek (2022), Deep Learning-Based Side-Channel Analysis Against AES Inner Rounds, Jianying Zhou, Sudipta Chattopadhyay, Sridhar Adepu, Cristina Alcaraz, Lejla Batina, Emiliano Casalicchio, Chenglu Jin, Jingqiang Lin, Eleonora Losiouk, Suryadipta Majumdar, Weizhi Meng, Stjepan Picek, Yury Zhauniarovich, Jun Shao, Chunhua Su, Cong Wang, Saman Zonouz (Eds.), In Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings p.165-182, Springer.
Norica Băcuieți, Lejla Batina, Stjepan Picek (2022), Deep Neural Networks Aiding Cryptanalysis: A Case Study of the Speck Distinguisher, Giuseppe Ateniese, Daniele Venturi (Eds.), In Applied Cryptography and Network Security - 20th International Conference, ACNS 2022, Proceedings p.809-829, Springer.
Stefanos Koffas, Stjepan Picek, Mauro Conti (2022), Dynamic Backdoors with Global Average Pooling, In Proceedings of the 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) p.320-323, IEEE.
Guilherme Perin, Lichao Wu, Stjepan Picek (2022), Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis, In IACR Transactions on Cryptographic Hardware and Embedded Systems Volume 2022 p.828-861.
Naila Mukhtar, Lejla Batina, Stjepan Picek, Yinan Kong (2022), Fake It Till You Make It: Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices, Steven D. Galbraith (Eds.), In Topics in Cryptology - CT-RSA 2022 p.297-321, Springer.
Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek (2022), Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis, Josep Balasch, Colin O’Flynn (Eds.), In Constructive Side-Channel Analysis and Secure Design - 13th International Workshop, COSADE 2022, Proceedings Volume 13211 p.29-48, Springer.
Guilherme Perin, Lichao Wu, Stjepan Picek (2022), Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-Based Side-Channel Analysis, M. Stamp (Eds.), In Advances in Information Security p.217-241, Springer Nature.