Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek (2024), Ablation Analysis for Multi-device Deep Learning-based Physical Side-channel Analysis, In IEEE Transactions on Dependable and Secure Computing Volume 21 p.1331-1341.

Christina Kreza, Stefanos Koffas, Behrad Tajalli, Mauro Conti, Stjepan Picek (2024), Backdoors on Manifold Learning, In WiseML 2024 - Proceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning p.1-7, Association for Computing Machinery (ACM).

Coen Schoof, Stefanos Koffas, Mauro Conti, Stjepan Picek (2024), Beyond PhantomSponges: Enhancing Sponge Attack on Object Detection Models, In WiseML 2024 - Proceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning p.14-19, Association for Computing Machinery (ACM).

Lichao Wu, Guilherme Perin, Stjepan Picek (2024), I Choose You: Automated Hyperparameter Tuning for Deep Learning-based Side-channel Analysis, In IEEE Transactions on Emerging Topics in Computing Volume 12 p.546-557.

Jing Xu, Stefanos Koffas, Stjepan Picek (2024), Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks, In Digital Threats: Research and Practice Volume 5.

Stefanos Koffas, Behrad Tajalli, Jing Xu, Mauro Conti, Stjepan Picek (2023), A Systematic Evaluation of Backdoor Attacks in Various Domains, In Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing p.519-552, Springer Nature.

Arthur Mercier, Nikita Smolin, Oliver Sihlovec, Stefanos Koffas, Stjepan Picek (2023), Backdoor Pony: Evaluating backdoor attacks and defenses in different domains, In SoftwareX Volume 22.

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.