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Gorka Abad
Gorka Abad
PhD Student, Radboud University and Ikerlan
Verified email at ru.nl
Title
Cited by
Cited by
Year
On the Security & Privacy in Federated Learning
G Abad, S Picek, A Urbieta
arXiv preprint arXiv:2112.05423, 2021
192021
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
G Abad, O Ersoy, S Picek, A Urbieta
Network and Distributed System Security (NDSS) Symposium, 2024
72024
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
G Abad, S Paguada, O Ersoy, S Picek, VJ Ramírez-Durán, A Urbieta
First IEEE Conference on Secure and Trustworthy Machine Learning, 2023
7*2023
Poster: Backdoor attacks on spiking nns and neuromorphic datasets
G Abad, O Ersoy, S Picek, VJ Ramírez-Durán, A Urbieta
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
52022
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
G Abad, J Xu, S Koffas, B Tajalli, S Picek, M Conti
arXiv preprint arXiv:2302.01740v2, 2023
42023
Rethinking the trigger-injecting position in graph backdoor attack
J Xu, G Abad, S Picek
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
32023
Time-Distributed Backdoor Attacks on Federated Spiking Learning
G Abad, S Picek, A Urbieta
arXiv preprint arXiv:2402.02886, 2024
12024
Poster: Backdoor Attack on Extreme Learning Machines
B Tajalli, G Abad, S Picek
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data
B Pleiter, B Tajalli, S Koffas, G Abad, J Xu, M Larson, S Picek
arXiv preprint arXiv:2311.07550, 2023
2023
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