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Alberto Blanco-Justicia
Alberto Blanco-Justicia
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Zitiert von
Jahr
The limits of differential privacy (and its misuse in data release and machine learning)
J Domingo-Ferrer, D Sánchez, A Blanco-Justicia
Communications of the ACM 64 (7), 33-35, 2021
1112021
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions
A Blanco-Justicia, J Domingo-Ferrer, S Martínez, D Sánchez, A Flanagan, ...
Engineering Applications of Artificial Intelligence 106, 104468, 2021
872021
Machine learning explainability via microaggregation and shallow decision trees
A Blanco-Justicia, J Domingo-Ferrer, S Martinez, D Sanchez
Knowledge-Based Systems 194, 105532, 2020
542020
Machine learning explainability through comprehensible decision trees
A Blanco-Justicia, J Domingo-Ferrer
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4 …, 2019
542019
A critical review on the use (and misuse) of differential privacy in machine learning
A Blanco-Justicia, D Sánchez, J Domingo-Ferrer, K Muralidhar
ACM Computing Surveys 55 (8), 1-16, 2022
372022
Secure and privacy-preserving federated learning via co-utility
J Domingo-Ferrer, A Blanco-Justicia, J Manjón, D Sánchez
IEEE Internet of Things Journal 9 (5), 3988-4000, 2021
312021
Defending against the label-flipping attack in federated learning
NM Jebreel, J Domingo-Ferrer, D Sánchez, A Blanco-Justicia
arXiv preprint arXiv:2207.01982, 2022
302022
Privacy-preserving technologies
J Domingo-Ferrer, A Blanco-Justicia
The Ethics of Cybersecurity, 279-297, 2020
222020
Keynet: An asymmetric key-style framework for watermarking deep learning models
NM Jebreel, J Domingo-Ferrer, D Sánchez, A Blanco-Justicia
Applied Sciences 11 (3), 999, 2021
212021
Flexible and robust privacy-preserving implicit authentication
J Domingo-Ferrer, Q Wu, A Blanco-Justicia
ICT Systems Security and Privacy Protection: 30th IFIP TC 11 International …, 2015
212015
Enhanced security and privacy via fragmented federated learning
NM Jebreel, J Domingo-Ferrer, A Blanco-Justicia, D Sánchez
IEEE Transactions on Neural Networks and Learning Systems, 2022
202022
Fair detection of poisoning attacks in federated learning
AK Singh, A Blanco-Justicia, J Domingo-Ferrer, D Sánchez, ...
2020 IEEE 32nd international conference on tools with artificial …, 2020
202020
Co-utile peer-to-peer decentralized computing
J Domingo-Ferrer, A Blanco-Justicia, D Sánchez, N Jebreel
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
192020
Privacy-aware loyalty programs
A Blanco-Justicia, J Domingo-Ferrer
Computer Communications 82, 83-94, 2016
192016
Privacy-preserving loyalty programs
A Blanco-Justicia, J Domingo-Ferrer
International Workshop on Data Privacy Management, 133-146, 2014
162014
Efficient detection of Byzantine attacks in federated learning using last layer biases
N Jebreel, A Blanco-Justicia, D Sánchez, J Domingo-Ferrer
Modeling Decisions for Artificial Intelligence: 17th International …, 2020
102020
Distance computation between two private preference functions
A Blanco, J Domingo-Ferrer, O Farràs, D Sánchez
ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International …, 2014
102014
GRAIMATTER green paper: Recommendations for disclosure control of trained machine learning (ML) models from trusted research environments (TREs)
E Jefferson, J Liley, M Malone, S Reel, A Crespi-Boixader, X Kerasidou, ...
arXiv preprint arXiv:2211.01656, 2022
82022
Fair detection of poisoning attacks in federated learning on non-iid data
AK Singh, A Blanco-Justicia, J Domingo-Ferrer
Data Mining and Knowledge Discovery 37 (5), 1998-2023, 2023
62023
Collaborative explanation of deep models with limited interaction for trade secret and privacy preservation
J Domingo-Ferrer, C Pérez-Solà, A Blanco-Justicia
Companion Proceedings of The 2019 World Wide Web Conference, 501-507, 2019
62019
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