Servio Paguada

According to our database, Servio Paguada authored at least 9 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

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