Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs

Roberto Riaño, Gorka Abad, Stjepan Picek +1

The paper introduces a clean‑label backdoor attack for spiking neural networks that subtly reshapes the timing of events in target‑class training streams, achieving near‑perfect at…

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

Gorka Abad, Oguzhan Ersoy, Stjepan Picek +1

End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates

Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1

Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers

Gorka Abad, Stjepan Picek, Lorenzo Cavallaro +1

Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras

Roberto Riaño, Gorka Abad, Stjepan Picek +1

Time-Distributed Backdoor Attacks on Federated Spiking Learning

Gorka Abad, Stjepan Picek, Aitor Urbieta

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

Gorka Abad, Servio Paguada, Oguzhan Ersoy +3

Penetration Testing of 5G Core Network Web Technologies

Filippo Giambartolomei, Marc Barceló, Alessandro Brighente +2

Too Many Options: A Survey of ABE Libraries for Developers

Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation

Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2

On the Security & Privacy in Federated Learning

Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán +1

Securing IIoT using Defence-in-Depth: Towards an End-to-End Secure Industry 4.0

Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1