Membership Privacy Evaluation in Deep Spiking Neural Networks

Jiaxin Li, Gorka Abad, Stjepan Picek, Mauro Conti

ESORICS2024

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

Gorka Abad, Stjepan Picek, Lorenzo Cavallaro, Aitor Urbieta

preprint2024

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

Gorka Abad, Oğuzhan Ersoy, Stjepan Picek, Aitor Urbieta

NDSS'242024

Time-Distributed Backdoor Attacks on Federated Spiking Learning

Gorka Abad, Stjepan Picek, Aitor Urbieta

preprint2024

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data

Bart Pleiter, Behrad Tajalli, Stefanos Koffas, Gorka Abad, Jing Xu, Martha Larson, Stjepan Picek

preprint2023

Poster: Backdoor Attack on Extreme Learning Machines

Behrad Tajalli, Gorka Abad, Stjepan Picek

CCS'232023

Rethinking the Trigger-injecting Position in Graph Backdoor Attack

Jing Xu, Gorka Abad, Stjepan Picek

IJCNN'232023

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

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

SaTML'232023

A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification

Gorka Abad, Jing Xu, Stefanos Koffas, Behrad Tajalli, Stjepan Picek

preprint2023

Poster: Backdoor Attacks in Spiking NN and Neuromorphic Datasets

Gorka Abad, Oğuzhan Ersoy, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta

CCS'222022

On the Security & Privacy in Federated Learning

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

preprint2022