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ORCIDAlberto Blanco-Justicia
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2020 – today
- 2024
[j13]Najeeb Moharram Jebreel
, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
LFighter: Defending against the label-flipping attack in federated learning. Neural Networks 170: 111-126 (2024)- [j12]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6703-6717 (2024) - [c15]David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. PSD 2024: 213-224 - [i13]Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan:
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods. CoRR abs/2404.02062 (2024) - 2023
- [j11]Jesús A. Manjón, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
Secure, accurate and privacy-aware fully decentralized learning via co-utility. Comput. Commun. 207: 1-18 (2023) - [j10]Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar:
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. ACM Comput. Surv. 55(8): 160:1-160:16 (2023) - [j9]Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Fair detection of poisoning attacks in federated learning on non-i.i.d. data. Data Min. Knowl. Discov. 37(5): 1998-2023 (2023) - [i12]David Sánchez, Najeeb Jebreel, Josep Domingo-Ferrer, Krishnamurty Muralidhar, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. CoRR abs/2311.03171 (2023) - 2022
- [j8]Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez:
Secure and Privacy-Preserving Federated Learning via Co-Utility. IEEE Internet Things J. 9(5): 3988-4000 (2022) - [c14]Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer:
Generation of Synthetic Trajectory Microdata from Language Models. PSD 2022: 172-187 - [i11]Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar:
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. CoRR abs/2206.04621 (2022) - [i10]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
Defending against the Label-flipping Attack in Federated Learning. CoRR abs/2207.01982 (2022) - [i9]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. CoRR abs/2207.05978 (2022) - [i8]Emily R. Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith:
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). CoRR abs/2211.01656 (2022) - 2021
- [j7]Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
The limits of differential privacy (and its misuse in data release and machine learning). Commun. ACM 64(7): 33-35 (2021) - [j6]Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan:
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. Eng. Appl. Artif. Intell. 106: 104468 (2021) - [c13]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control. MDAI 2021: 335-345 - [i7]Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez:
Secure and Privacy-Preserving Federated Learning via Co-Utility. CoRR abs/2108.01913 (2021) - 2020
- [j5]Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez:
Machine learning explainability via microaggregation and shallow decision trees. Knowl. Based Syst. 194: 105532 (2020) - [j4]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph. Sci. Eng. Ethics 26(3): 1267-1285 (2020) - [c12]Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, Najeeb Jebreel:
Co-Utile Peer-to-Peer Decentralized Computing. CCGRID 2020: 31-40 - [c11]Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer, David Sánchez, David Rebollo-Monedero:
Fair Detection of Poisoning Attacks in Federated Learning. ICTAI 2020: 224-229 - [c10]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Privacy-Preserving Computation of the Earth Mover's Distance. ISC 2020: 409-423 - [c9]Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer:
Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. MDAI 2020: 154-165 - [c8]Najeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. PSD 2020: 309-320 - [i6]Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning). CoRR abs/2011.02352 (2020) - [i5]Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan:
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions. CoRR abs/2012.06810 (2020)
2010 – 2019
- 2019
- [c7]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Machine Learning Explainability Through Comprehensible Decision Trees. CD-MAKE 2019: 15-26 - [c6]Josep Domingo-Ferrer, Cristina Pérez-Solà, Alberto Blanco-Justicia:
Collaborative Explanation of Deep Models with Limited Interaction for Trade Secret and Privacy Preservation. WWW (Companion Volume) 2019: 501-507 - 2018
- [j3]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Efficient privacy-preserving implicit authentication. Comput. Commun. 125: 13-23 (2018) - [j2]Josep Domingo-Ferrer, Alberto Blanco-Justicia, Carla Ràfols:
Dynamic group size accreditation and group discounts preserving anonymity. Int. J. Inf. Sec. 17(3): 243-260 (2018) - 2017
- [b1]Alberto Blanco-Justicia:
Cryptographic protocols for privacy-aware and secure e-commerce. University of Rovira i Virgili, Spain, 2017 - 2016
- [j1]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Privacy-aware loyalty programs. Comput. Commun. 82: 83-94 (2016) - 2015
- [c5]Josep Domingo-Ferrer, Qianhong Wu, Alberto Blanco-Justicia:
Flexible and Robust Privacy-Preserving Implicit Authentication. SEC 2015: 18-34 - [i4]Josep Domingo-Ferrer, Qianhong Wu, Alberto Blanco-Justicia:
Flexible and Robust Privacy-Preserving Implicit Authentication. CoRR abs/1503.00454 (2015) - 2014
- [c4]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Group Discounts Compatible with Buyer Privacy. DPM/SETOP/QASA 2014: 47-57 - [c3]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Privacy-Preserving Loyalty Programs. DPM/SETOP/QASA 2014: 133-146 - [c2]Alberto Blanco-Justicia, Josep Domingo-Ferrer, Oriol Farràs, David Sánchez:
Distance Computation between Two Private Preference Functions. SEC 2014: 460-470 - [i3]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Privacy-preserving Loyalty Programs. CoRR abs/1411.3961 (2014) - [i2]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Group Discounts Compatible with Buyer Privacy. CoRR abs/1412.0529 (2014) - 2013
- [c1]Oriol Farràs, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Privacy-Preserving Trust Management Mechanisms from Private Matching Schemes. DPM/SETOP 2013: 390-398 - [i1]Oriol Farràs, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Privacy-Preserving Trust Management Mechanisms from Private Matching Schemes. CoRR abs/1308.2435 (2013)
Coauthor Index
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last updated on 2024-10-04 20:03 CEST by the dblp team
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