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
Alberto Blanco-Justicia
Tenure-track lecturer
Tel: +34 977 55 8270
Email: alberto.blanco@urv.cat
Academic Profiles
Publications
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2025
Conference
Membership inference attacks beyond overfitting
DPM 2025
M. Khalil, A. Blanco-Justicia, N. Jebreel and J. Domingo-Ferrer
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
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
2024
Conference
Enhanced Security and Privacy via Fragmented Federated Learning
RECSI 2024
N. Jebreel, J. Domingo-Ferrer, A. Blanco-Justicia and D. Sánchez
2024
Conference
An examination of the alleged privacy threats of confidence-ranked reconstruction of Census microdata
PSD 2024
D. Sánchez, N. Jebreel, K. Muralidhar, J. Domingo-Ferrer, and A. Blanco-Justicia
2024
Journal
D1
Enhanced Security and Privacy via Fragmented Federated Learning
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
N. Jebreel, J. Domingo-Ferrer, A. Blanco-Justicia and D. Sánchez
2024
Journal
Q1
LFighter: Defending against the label-flipping attack in federated learning
NEURAL NETWORKS
N. Jebreel, J. Domingo-Ferrer, D. Sánchez and A. Blanco-Justicia
2023
Journal
Making it easy for transport stakeholders to share mobility data
TRANSPORTATION RESEARCH PROCEDIA
T. Chevallier, J. Lauer, C. Renso, A. Blanco-Justicia, D. De Ryck and A. Papacharalampous
2023
Journal
D1
A critical review on the use (and misuse) of differential privacy in machine learning
ACM COMPUTING SURVEYS
A. Blanco-Justicia, D. Sánchez, J. Domingo-Ferrer and K. Muralidhar
2023
Journal
Q1
Secure, Accurate and Privacy-Aware Fully Decentralized Learning via Co-Utility
COMPUTER COMMUNICATIONS
J. Manjón, J. Domingo-Ferrer, D. Sánchez and A. Blanco-Justicia
2023
Journal
Fair detection of poisoning attacks in federated learning on non-i.i.d. data
DATA MINING AND KNOWLEDGE DISCOVERY
A. Khandpur Singh, A. Blanco-Justicia and J. Domingo-Ferrer
2022
Conference
Generation of Synthetic Trajectory Microdata from Language Models
PSD 2022
A. Blanco-Justicia, N. Jebreel, J. A. Manjón and J. Domingo-Ferrer
2022
Journal
D1
Secure and privacy-preserving federated learning via co-utility
IEEE INTERNET OF THINGS JOURNAL
J. Domingo-Ferrer, A. Blanco-Justicia, J. Manjón and D. Sánchez
2021
Conference
Using machine learning to assist output checking
2021 JOINT UNECE/EUROSTAT EXPERT MEETING ON STATISTICAL DATA CONFIDENTIALITY
J. Domingo-Ferrer and A. Blanco-Justicia
2021
Journal
D1
Achieving security and privacy in federated learning systems: survey, research challenges and future directions
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
A. Blanco-Justicia, J. Domingo-Ferrer, S. Martínez, D. Sánchez, A. Flanagan and K. E. Tan
2021
Conference
Towards output checking assisted by machine learning for statistical disclosure control
MDAI2021
J. Domingo-Ferrer and A. Blanco-Justicia
2021
Journal
D1
The limits of differential privacy (and its misuse in data release and machine learning)
COMMUNICATIONS OF THE ACM
J. Domingo-Ferrer, D. Sánchez and A. Blanco-Justicia
2021
Journal
KeyNet: An Asymmetric Key-Style Framework for Watermarking Deep Learning Models
APPLIED SCIENCES
N. Jebreel, J. Domingo-Ferrer, D. Sánchez and A. Blanco-Justicia
2020
Conference
Privacy-preserving computation of the earth mover's distance
ISC 2020
A. Blanco-Justicia and J. Domingo-Ferrer
2020
Conference
Fair detection of poisoning attacks in federated learning
ICTAI 2020
A. Khandpur Singh, A. Blanco-Justicia, J. Domingo-Ferrer, D. Sánchez and D. Rebollo-Monedero
2020
Conference
Efficient detection of Byzantine attacks in federated learning using last layer biases
MDAI 2020
N. Jebreel, A. Blanco-Justicia, D. Sánchez and J. Domingo-Ferrer
2020
Conference
Detecting bad answers in survey data through unsupervised machine learning
PSD 2020
N. Jebreel, R. Haffar, A. Khandpur Singh, D. Sánchez, J. Domingo-Ferrer and A.Blanco-Justicia
2020
Journal
Q1
Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph
SCIENCE AND ENGINEERING ETHICS
J. Domingo-Ferrer and A. Blanco-Justicia
2020
Conference
Core A
Co-utile peer-to-peer decentralized computing
CCGRID2020
J. Domingo-Ferrer, A. Blanco-Justicia, D. Sánchez and N. Jebreel
2020
Conference
Cálculo privado de la distancia de Wasserstein
RECSI 2018
A. Blanco-Justicia and J.Domingo-Ferrer
2020
Journal
Q1
Machine learning explainability via microaggregation and shallow decision trees
KNOWLEDGE-BASED SYSTEMS
A. Blanco-Justicia, J. Domingo-Ferrer, S. Martínez and D. Sánchez
2020
Book Chapter
Privacy-Preserving Technologies
THE ETHICS OF CYBERSECURITY
J. Domingo-Ferrer and A. Blanco-Justicia
2019
Conference
Machine learning explainability through comprehensible decision trees
MAKE 2019
A. Blanco-Justicia and J. Domingo-Ferrer
2019
Conference
Collaborative explanation of deep models with limited interaction for trade secret and privacy preservation
FATES 2019
J. Domingo-Ferrer, C. Pérez-Solà and A. Blanco-Justicia