Photo of Josep Domingo-Ferrer

Josep Domingo-Ferrer

Full Professor and ICREA Academia

Tel: +34 977 55 8109

Email: josep.domingo@urv.cat

Homepage: http://crises-deim.urv.cat/jdomingo/

Research Lines

Trustworthy AI

Secure and Robust AI Privacy-Preserving AI Explainable AI Fairness and Bias Unlearning

Data Privacy

Data Anonymization Differential Privacy Privacy in Machine Learning Federated Learning Privacy-Preserving Data Analysis Cryptographic Privacy Techniques Privacy-Aware Data Governance

Academic Profiles

Publications

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2026 Journal D1 To Appear

FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

F. Ahmed, D. Sánchez, Z. Haddi and J. Domingo-Ferrer

DOI PDF BibTeX
2026 Conference Core A To Appear

A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks

ESORICS 2026

N. Jebreel, D. Sánchez, and J. Domingo-Ferrer

PDF
2026 Conference Core A To Appear

Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions

PETS2026

N. Jebreel, M. Khalil, D. Sánchez, J. Domingo-Ferrer

2026 Journal D1 To Appear

FedGA: Genetic Algorithm-Guided Federated Learning for Medical Image Segmentation with Non-IID Features

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

F. Ahmed, R. Moreno, D. Sánchez; Z. Haddi and J. Domingo-Ferrer

DOI PDF BibTeX
2026 Conference

Explainability-driven anonymization in latent space (EDIALS)

CODASPY 2026

Y. Khan, A. Monreale, C. Metta, D. Sánchez and J. Domingo-Ferrer

2026 Journal

Differential privacy in practice: lessons learned from 10 years of real-world applications

IEEE SECURITY & PRIVACY

L. Del Vasto-Terrientes, D. Sánchez and J. Domingo-Ferrer

DOI PDF BibTeX
2025 Journal Q1

DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs

NEURAL NETWORKS

T. Al Mahmud, N. Jebreel, J. Domingo-Ferrer and D. Sánchez

DOI PDF BibTeX
2025 Journal D1

Dual-server privacy-preserving collaborative deep learning: a round-efficient, dynamic and lossless approach

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING

L. Wang, L. Zhang, K. R. Choo, J. Domingo-Ferrer, M. Conti and Y. Gao

DOI PDF BibTeX
2025 Journal D1

Symbolic cryptoviolence in on-line social networks

ETHICS AND INFORMATION TECHNOLOGY

J. Domingo-Ferrer

DOI BibTeX
2025 Journal

Anonymization did not fail: misconceptions and overstatements on data anonymization failures

IEEE SECURITY & PRIVACY

D. Sánchez, J. Domingo-Ferrer and K. Muralidhar

DOI PDF BibTeX
2025 Journal D1

A consensus privacy metrics framework for synthetic data

PATTERNS

L. Pilgram, F. K. Dankar, J. Drechsler, M. Elliot, J. Domingo-Ferrer, P. Francis, M. Kantarcioglu, L. Kong, B. A. Malin, K. Muralidhar, P. Myles, F. Prasser, J. L. Raisaro, C. Yan and K. El Emam

DOI PDF BibTeX
2025 Journal

Explainability-Driven Incremental Image Anonymization

TRANSACTIONS ON DATA PRIVACY

R. Haffar, D. Sánchez, Y. Khan and J. Domingo-Ferrer

PDF
2025 Conference

Defenses against membership inference attacks on unlearned data

MDAI2025

J. Domingo-Ferrer, N. Jebreel and D. Sánchez

2025 Conference

FedBC: Privacy-preserving breast cancer diagnosis from ultrasound images using federated learning

BREATH 2025

F. Ahmed, D. Sánchez, J. Domingo-Ferrer and Z. Haddi

2025 Conference

LFighter: Defending Against the Label-Flipping Attack in Federated Learning (Extended Abstract)

ECMLPKDD 2025

N. Jebreel, J. Domingo-Ferrer, D. Sánchez, A. Blanco-Justicia

2025 Journal

Statistical disclosure control: moving forward

JOURNAL OF OFFICIAL STATISTICS

J. Domingo-Ferrer, D. Sánchez and K. Muralidhar

DOI PDF BibTeX
2025 Conference

How worrying are privacy attacks against machine learning?

DPM 2025

J. Domingo-Ferrer

2025 Conference

Membership inference attacks beyond overfitting

DPM 2025

M. Khalil, A. Blanco-Justicia, N. Jebreel and J. Domingo-Ferrer

2025 Conference

The right to be forgotten in the age of AI: legal, philosophical, and technical challenges

4TH INTERNATIONAL WORKSHOP ON IMAGINING THE AI LANDSCAPE AFTER THE AI ACT

A. Bucci, J. Domingo-Ferrer, A. Monreale, and F. Naretto

2025 Journal Q1

Enhancing efficiency and data utility in longitudinal data anonymization

INFORMATION SCIENCES

F. Amiri, D. Sánchez and J. Domingo-Ferrer

DOI PDF BibTeX
2025 Journal D1

Synthetic data generation via the permutation paradigm with optional k-anonymity

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING

J. Domingo-Ferrer, K. Muralidhar and S. Martínez

DOI PDF BibTeX
2025 Journal

Multi-task (MTF) data set: a legally and ethically compliant collection of face images for various classification tasks

IEEE ACCESS

R.Haffar, D. Sánchez and J. Domingo-Ferrer

DOI BibTeX
2025 Journal D1

Digital forgetting in large language models: a survey of unlearning models

ARTIFICIAL INTELLIGENCE REVIEW

A. Blanco-Justicia, N. Jebreel, B. Manzanares-Salor, D. Sánchez, J. Domingo-Ferrer, G. Collell and K. E. Tan

DOI PDF BibTeX
2025 Journal Q1

MemberShield: a framework for federated learning with membership privacy

NEURAL NETWORKS

F. Ahmed, D. Sánchez, Z. Haddi and J. Domingo-Ferrer

DOI BibTeX
2025 Journal

Protecting vulnerable respondents: a critical analysis of the privacy-preserving methods of the 2010 and 2020 Decennial Census

POPULATION RESEARCH AND POLICY REVIEW

K. Muralidhar, J. Domingo-Ferrer, D. Sánchez and S. Ruggles

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2025 Journal

Unlearning in Large Language Models: We Are Not There Yet

COMPUTER

A. Blanco-Justicia, J. Domingo-Ferrer, N. M. Jebreel, B. Manzanares-Salor and D. Sánchez

DOI PDF BibTeX
2025 Journal

Conciliating Privacy and Utility in Data Releases via Individual Differential Privacy and Microaggregation

TRANSACTIONS ON DATA PRIVACY

J. Soria-Comas, D. Sánchez, J. Domingo-Ferrer, S. Martínez and L. Del Vasto-Terrientes

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2024 Journal

Què és i què pot fer la intel·ligència artificial?

REVISTA CATALANA DE CIèNCIES SOCIALS

J. Domingo-Ferrer

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2024 Journal D1

Federated learning-based natural language processing: a systematic literature review

ARTIFICIAL INTELLIGENCE REVIEW

Y Khan, D. Sánchez and J. Domingo-Ferrer

DOI BibTeX
2024 Conference

Armonizando Privacidad y Utilidad en la Publicación de Datos mediante Privacidad Diferencial Individual y Microagregación

RECSI 2024

J. Soria-Comas, D. Sánchez, J. Domingo-Ferrer, S. Martínez and L. Del Vasto-Terrientes

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