gorkaabad.io
Publications Talks About
    Time-Distributed Backdoor Attacks on Federated Spiking Learning

    Gorka Abad, Stjepan Picek, Aitor Urbieta

    ESORICS2025

    Membership Privacy Evaluation in Deep Spiking Neural Networks

    Jiaxin Li, Gorka Abad, Stjepan Picek, Mauro Conti

    ESORICS2025

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

    Roberto Riaño, Gorka Abad, Stjepan Picek, Aitor Urbieta

    preprint2024

    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

    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

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