The Forgotten Hyperparameter: - Introducing Dilated Convolution for Boosting CNN-Based Side-Channel Attacks. - Servio Paguada; Igor Armendariz (ACNS Workshops, 2020)

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

Toward practical autoencoder-based side-channel analysis evaluations. - Servio Paguada; Lejla Batina; 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)

Client-Wise Targeted Backdoor in Federated Learning. - Gorka Abad; Servio Paguada; Stjepan Picek; Víctor Julio Ramírez-Durán; Aitor Urbieta (CoRR, 2022)

Playing With Blocks: Toward Re-Usable Deep Learning Models for Side-Channel Profiled Attacks. - Servio Paguada; Lejla Batina; Ileana Buhan; Igor Armendariz (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)

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning. - Gorka Abad; Servio Paguada; Oguzhan Ersoy; Stjepan Picek; Víctor Julio Ramírez-Durán; Aitor Urbieta (SaTML, 2023)

Enhancing Scale and Shift Invariance in Deep Learning-based Side-channel Attacks through Equivariant Convolutional Neural Networks. - David Perez; Sengim Karayalcin; Stjepan Picek; Servio Paguada (IACR Cryptol. ePrint Arch., 2025)

Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks. - Servio Paguada; Lejla Batina; Ileana Buhan; Igor Armendariz (IEEE Trans. Computers, 2025)