SoK: On the Security & Privacy in Federated Learning. - Gorka Abad; Stjepan Picek; Aitor Urbieta (CoRR, 2021)

Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets. - Gorka Abad; Oguzhan Ersoy; Stjepan Picek; Víctor Julio Ramírez-Durán; Aitor Urbieta (CCS, 2022)

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

Poster: Backdoor Attack on Extreme Learning Machines. - Behrad Tajalli; Gorka Abad; Stjepan Picek (CCS, 2023)

Rethinking the Trigger-injecting Position in Graph Backdoor Attack. - Jing Xu 028; Gorka Abad; Stjepan Picek (IJCNN, 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 (SaTML, 2023)

A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification. - Gorka Abad; Jing Xu 028; Stefanos Koffas; Behrad Tajalli; Stjepan Picek (CoRR, 2023)

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data. - Bart Pleiter; Behrad Tajalli; Stefanos Koffas; Gorka Abad; Jing Xu 028; Martha A. Larson; Stjepan Picek (CoRR, 2023)

ELMs Under Siege: A Study on Backdoor Attacks on Extreme Learning Machines. - Behrad Tajalli; Stefanos Koffas; Gorka Abad; Stjepan Picek (AISec@CCS, 2024)

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data. - Gorka Abad; Oguzhan Ersoy; Stjepan Picek; Aitor Urbieta (NDSS, 2024)

Time-Distributed Backdoor Attacks on Federated Spiking Learning. - Gorka Abad; Stjepan Picek; Aitor Urbieta (CoRR, 2024)

Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers. - Gorka Abad; Stjepan Picek; Lorenzo Cavallaro; Aitor Urbieta (CoRR, 2024)

Membership Privacy Evaluation in Deep Spiking Neural Networks. - Jiaxin Li; Gorka Abad; Stjepan Picek; Mauro Conti (CoRR, 2024)

Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras. - Roberto Riaño; Gorka Abad; Stjepan Picek; Aitor Urbieta (CoRR, 2024)