Privacy-Preserving Trust Management Mechanisms from Private Matching Schemes. - Oriol Farràs; Josep Domingo-Ferrer; Alberto Blanco-Justicia (DPM/SETOP, 2013)

Privacy-Preserving Loyalty Programs. - Alberto Blanco-Justicia; Josep Domingo-Ferrer (DPM/SETOP/QASA, 2014)

Group Discounts Compatible with Buyer Privacy. - Josep Domingo-Ferrer; Alberto Blanco-Justicia (DPM/SETOP/QASA, 2014)

Distance Computation between Two Private Preference Functions. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Oriol Farràs; David Sánchez 001 (SEC, 2014)

Flexible and Robust Privacy-Preserving Implicit Authentication. - Josep Domingo-Ferrer; Qianhong Wu; Alberto Blanco-Justicia (SEC, 2015)

Privacy-aware loyalty programs. - Alberto Blanco-Justicia; Josep Domingo-Ferrer (Comput. Commun., 2016)

Cryptographic protocols for privacy-aware and secure e-commerce. - Alberto Blanco-Justicia (2017)

Efficient privacy-preserving implicit authentication. - Alberto Blanco-Justicia; Josep Domingo-Ferrer (Comput. Commun., 2018)

Dynamic group size accreditation and group discounts preserving anonymity. - Josep Domingo-Ferrer; Alberto Blanco-Justicia; Carla Ràfols (Int. J. Inf. Sec., 2018)

Machine Learning Explainability Through Comprehensible Decision Trees. - Alberto Blanco-Justicia; Josep Domingo-Ferrer (CD-MAKE, 2019)

Collaborative Explanation of Deep Models with Limited Interaction for Trade Secret and Privacy Preservation. - Josep Domingo-Ferrer; Cristina Pérez-Solà; Alberto Blanco-Justicia (WWW (Companion Volume), 2019)

Co-Utile Peer-to-Peer Decentralized Computing. - Josep Domingo-Ferrer; Alberto Blanco-Justicia; David Sánchez 001; Najeeb Jebreel (CCGRID, 2020)

Fair Detection of Poisoning Attacks in Federated Learning. - Ashneet Khandpur Singh; Alberto Blanco-Justicia; Josep Domingo-Ferrer; David Sánchez 001; David Rebollo-Monedero (ICTAI, 2020)

Privacy-Preserving Computation of the Earth Mover's Distance. - Alberto Blanco-Justicia; Josep Domingo-Ferrer (ISC, 2020)

Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. - Najeeb Jebreel; Alberto Blanco-Justicia; David Sánchez 001; Josep Domingo-Ferrer (MDAI, 2020)

Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. - Najeeb Moharram Jebreel; Rami Haffar; Ashneet Khandpur Singh; David Sánchez 001; Josep Domingo-Ferrer; Alberto Blanco-Justicia (PSD, 2020)

Machine learning explainability via microaggregation and shallow decision trees. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Sergio Martínez; David Sánchez 001 (Knowl. Based Syst., 2020)

Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph. - Josep Domingo-Ferrer; Alberto Blanco-Justicia (Sci. Eng. Ethics, 2020)

Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control. - Josep Domingo-Ferrer; Alberto Blanco-Justicia (MDAI, 2021)

The limits of differential privacy (and its misuse in data release and machine learning). - Josep Domingo-Ferrer; David Sánchez 001; Alberto Blanco-Justicia (Commun. ACM, 2021)

Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Sergio Martínez; David Sánchez 001; Adrian Flanagan; Kuan Eeik Tan (Eng. Appl. Artif. Intell., 2021)

Generation of Synthetic Trajectory Microdata from Language Models. - Alberto Blanco-Justicia; Najeeb Moharram Jebreel; Jesús A. Manjón; Josep Domingo-Ferrer (PSD, 2022)

Defending against the Label-flipping Attack in Federated Learning. - Najeeb Moharram Jebreel; Josep Domingo-Ferrer; David Sánchez 001; Alberto Blanco-Justicia (CoRR, 2022)

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). - 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; et al. (CoRR, 2022)

Secure and Privacy-Preserving Federated Learning via Co-Utility. - Josep Domingo-Ferrer; Alberto Blanco-Justicia; Jesús A. Manjón; David Sánchez 001 (IEEE Internet Things J., 2022)

A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. - Alberto Blanco-Justicia; David Sánchez 001; Josep Domingo-Ferrer; Krishnamurty Muralidhar (ACM Comput. Surv., 2023)

Secure, accurate and privacy-aware fully decentralized learning via co-utility. - Jesús A. Manjón; Josep Domingo-Ferrer; David Sánchez 001; Alberto Blanco-Justicia (Comput. Commun., 2023)

Fair detection of poisoning attacks in federated learning on non-i.i.d. data. - Ashneet Khandpur Singh; Alberto Blanco-Justicia; Josep Domingo-Ferrer (Data Min. Knowl. Discov., 2023)

An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. - David Sánchez 001; Najeeb Jebreel; Krishnamurty Muralidhar; Josep Domingo-Ferrer; Alberto Blanco-Justicia (PSD, 2024)

LFighter: Defending against the label-flipping attack in federated learning. - Najeeb Moharram Jebreel; Josep Domingo-Ferrer; David Sánchez 001; Alberto Blanco-Justicia (Neural Networks, 2024)

Enhanced Security and Privacy via Fragmented Federated Learning. - Najeeb Moharram Jebreel; Josep Domingo-Ferrer; Alberto Blanco-Justicia; David Sánchez 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unlearning in Large Language Models: We Are Not There Yet. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Najeeb Moharram Jebreel; Benet Manzanares-Salor; David Sánchez 001 (Computer, 2025)

Digital forgetting in large language models: a survey of unlearning methods. - Alberto Blanco-Justicia; Najeeb Jebreel; Benet Manzanares-Salor; David Sánchez 001; Josep Domingo-Ferrer; Guillem Collell; Kuan Eeik Tan (Artif. Intell. Rev., 2025)