Servio Paguada

According to our database, Servio Paguada authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, March, 2025

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

2023

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning.

Gorka Abad, Servio Paguada, Oguzhan Ersoy, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

2022

Deep Learning on Side-Channel Analysis.

Marina Krcek, Huimin Li, Servio Paguada, Unai Rioja, Lichao Wu, Guilherme Perin, Lukasz Chmielewski

Security and Artificial Intelligence, 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

Client-Wise Targeted Backdoor in Federated Learning.

Gorka Abad, Servio Paguada, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta

CoRR, 2022

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

Toward practical autoencoder-based side-channel analysis evaluations.

Servio Paguada, Lejla Batina, Igor Armendariz

Comput. Networks, 2021

2020

Controlling the Deep Learning-Based Side-Channel Analysis: A Way to Leverage from Heuristics.

Servio Paguada, Unai Rioja, Igor Armendariz

Proceedings of the Applied Cryptography and Network Security Workshops, 2020

The Forgotten Hyperparameter: - Introducing Dilated Convolution for Boosting CNN-Based Side-Channel Attacks.

Servio Paguada, Igor Armendariz

Proceedings of the Applied Cryptography and Network Security Workshops, 2020