Frontier research in Cybersecurity, Trustworthy AI and Data Privacy

The group interest and its contribution to the socioeconomic environment is centered in the creation of technologies that make compatible three objectives:

  • security for companies, governments and individuals in the information society
  • privacy of the individuals who are users or passive subjects of the information society
  • utility of the underlying informatics systems

1996
Since
+30
Publications/year
+25
Members
Research foto

Research lines

CS

Cybersecurity

Secure Systems and Architectures · IoT and Cyber-Physical Systems Security · Distributed Systems Security · Hardware Security · Digital Forensics and Incident Response · Formal Methods and Security Verification · Secure Data Management

AI

Trustworthy AI

Secure and Robust AI · Privacy-Preserving AI · Explainable AI · Fairness and Bias · Unlearning · AI Governance · Accountability · Trusted AI Infrastructure

CR

Cryptography and Secure Protocols

Post-Quantum Cryptography · Secret Sharing Schemes and Access Structures · Secure Multi-Party Computation · Cryptographic Protocol Design and Analysis · Verifiable and Distributed Cryptographic Protocols

DP

Data Privacy

Data Anonymization · Differential Privacy · Privacy in Machine Learning · Federated Learning · Privacy-Preserving Data Analysis · Cryptographic Privacy Techniques · Privacy-Aware Data Governance · Privacy Risk Assessment and Auditing

MF

Mathematical Foundations

Mathematical Foundations of Cryptography · Algebraic Structures · Numerical Semigroups · Discrete Mathematics · Graph Theory · Combinatorics

Highlighted Publications

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2026 Journal Q1 To Appear

Unsupervised utility evaluation of text anonymization methods via neural language models

NEURAL NETWORKS

B. Manzanares-Salor, D. Sánchez and P. Lison

DOI PDF BibTeX
2026 Journal Q1 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

Improving the Selection Rule of Correlation Attacks for Remote Power Analysis

CHES2026

O. Farràs, V. Grosso, M. Guiot and C.A. Lara-Nino

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

PDF
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
+25K
Citations
+80
D1 JCR journals
+160
Q1 JCR journals
+35
Core A*, A Conferences