| 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 | 122 | 2021 |
| 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 | 100 | 2021 |
| 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 | 57 | 2019 |
| 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 | 55 | 2020 |
| 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 | 45 | 2022 |
| 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 | 40 | 2022 |
| 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 | 33 | 2021 |
| 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 | 25 | 2022 |
| Privacy-preserving technologies J Domingo-Ferrer, A Blanco-Justicia The Ethics of Cybersecurity, 279-297, 2020 | 24 | 2020 |
| 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 | 22 | 2021 |
| 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 | 21 | 2020 |
| 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 | 21 | 2015 |
| Privacy-aware loyalty programs A Blanco-Justicia, J Domingo-Ferrer Computer Communications 82, 83-94, 2016 | 20 | 2016 |
| 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 | 19 | 2020 |
| Privacy-preserving loyalty programs A Blanco-Justicia, J Domingo-Ferrer International Workshop on Data Privacy Management, 133-146, 2014 | 16 | 2014 |
| 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 | 13 | 2023 |
| 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 | 13 | 2020 |
| 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 | 10 | 2014 |
| 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 | 8 | 2022 |
| 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 | 6 | 2019 |
Josep Domingo-FerrerDistinguished Professor, Universitat Rovira i Virgili, Director-CYBERCAT, FIEEE, ACM DS在 urv.cat 的电子邮件经过验证
