Controlling the Deep Learning-Based Side-Channel Analysis: A Way to Leverage from Heuristics. - Servio Paguada; Unai Rioja; Igor Armendariz (ACNS Workshops, 2020)

When Similarities Among Devices are Taken for Granted: Another Look at Portability. - Unai Rioja; Lejla Batina; Igor Armendariz (AFRICACRYPT, 2020)

Towards Automatic and Portable Data Loading Template Attacks on Microcontrollers. - Unai Rioja; Lejla Batina; Jose Luis Flores 001; Igor Armendariz (ISQED, 2021)

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis. - Unai Rioja; Lejla Batina; Jose Luis Flores 001; Igor Armendariz (Comput. Networks, 2021)

The Uncertainty of Side-channel Analysis: A Way to Leverage from Heuristics. - Unai Rioja; Servio Paguada; Lejla Batina; Igor Armendariz (ACM J. Emerg. Technol. Comput. Syst., 2021)

Towards Human Dependency Elimination: AI Approach to SCA Robustness Assessment. - Unai Rioja; Lejla Batina; Igor Armendariz; Jose Luis Flores 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Deep Learning on Side-Channel Analysis. - Marina Krcek; Huimin Li 004; Servio Paguada; Unai Rioja; Lichao Wu; Guilherme Perin; Lukasz Chmielewski (Security and Artificial Intelligence, 2022)

Machine Learning-Based Detection of Glitch Attacks in Clock Signal Data. - Asier Gambra; Durba Chatterjee; Unai Rioja; Igor Armendariz; Lejla Batina (IACR Cryptol. ePrint Arch., 2024)

Keep it unbiased: a comparison between estimation of distribution algorithms and deep learning for human interaction-free side-channel analysis. - Unai Rioja; Lejla Batina; Igor Armendariz; Jose Luis Flores 001 (J. Cryptogr. Eng., 2024)

Machine Learning Fault Injection Detection in Clock Signals: An Analysis of Frequency Impact. - Asier Gambra; Unai Rioja; Durba Chatterjee; Igor Armendariz; Lejla Batina (ISVLSI, 2025)