Josep Domingo-Ferrer

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 116

Top Venues

Publications

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 (2024)
Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. FUZZ (2024)
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) (2024)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
LFighter: Defending against the label-flipping attack in federated learning. Neural Networks 170 (2024)
Leman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, José A. Rodríguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie
Machine Learning in Finance. KDD (2024)
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 (2023)
Rami Haffar, David Sánchez, Josep Domingo-Ferrer
Explaining predictions and attacks in federated learning via random forests. Appl. Intell. 53 (1) (2023)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. CoRR (2023)
Jordi Soria-Comas, David Sánchez, Josep Domingo-Ferrer, Sergio Martínez, Luis Del Vasto Terrientes
Conciliating Privacy and Utility in Data Releases via Individual Differential Privacy and Microaggregation. CoRR (2023)
Josep Domingo-Ferrer, Jesús A. Manjón
Circuit-Free General-Purpose Multi-Party Computation via Co-Utile Unlinkable Outsourcing. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Vicenç Torra, Josep Domingo-Ferrer
Data privacy: state of the art. Trans. Data Priv. 16 (1) (2023)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. PAKDD (2) (2023)
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) (2023)
Krishnamurty Muralidhar, Josep Domingo-Ferrer
Database Reconstruction Is Not So Easy and Is Different from Reidentification. CoRR (2023)
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) (2023)
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 (2023)
Fadi Hassan, David Sánchez, Josep Domingo-Ferrer
Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer
FL-Defender: Combating targeted attacks in federated learning. Knowl. Based Syst. 260 (2023)
Rami Haffar, David Sánchez, Josep Domingo-Ferrer
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks. CoRR (2023)
Rami Haffar, Ashneet Khandpur Singh, Josep Domingo-Ferrer, Najeeb Jebreel
Measuring Fairness in Machine Learning Models via Counterfactual Examples. MDAI (2022)
Josep Domingo-Ferrer, Jordi Soria-Comas
Multi-Dimensional Randomized Response. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Javier Parra-Arnau, Thorsten Strufe, Josep Domingo-Ferrer
Differentially private publication of database streams via hybrid video coding. Knowl. Based Syst. 247 (2022)
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 (2022)
Josep Domingo-Ferrer, Sergio Martínez, David Sánchez
Decentralized k-anonymization of trajectories via privacy-preserving tit-for-tat. Comput. Commun. 190 (2022)
Josep Domingo-Ferrer
Ethics by Design in Decentralized Computing. EICC (2022)
Emily 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 (2022)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez
Enhanced Security and Privacy via Fragmented Federated Learning. CoRR (2022)
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
Defending against the Label-flipping Attack in Federated Learning. CoRR (2022)
Josep Domingo-Ferrer, Jordi Soria-Comas
Multi-Dimensional Randomized Response. ICDE (2022)
Nicolás Ruiz, Josep Domingo-Ferrer
Bistochastic privacy. CoRR (2022)
Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer
Generation of Synthetic Trajectory Microdata from Language Models. PSD (2022)
Josep Domingo-Ferrer
Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers. PSD (2022)
Nicolás Ruiz, Josep Domingo-Ferrer
Bistochastic Privacy. MDAI (2022)
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) (2022)
Rami Haffar, Najeeb Jebreel, David Sánchez, Josep Domingo-Ferrer
Generating Deep Learning Model-Specific Explanations at the End User's Side. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30 (Supplement-2) (2022)
Najeeb Jebreel, Josep Domingo-Ferrer
FL-Defender: Combating Targeted Attacks in Federated Learning. CoRR (2022)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez
Explaining Image Misclassification in Deep Learning via Adversarial Examples. MDAI (2021)
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 (2021)
Josep Domingo-Ferrer, Alberto Blanco-Justicia
Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control. MDAI (2021)
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) (2021)
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez
Secure and Privacy-Preserving Federated Learning via Co-Utility. CoRR (2021)
Josep Domingo-Ferrer, Jesús A. Manjón
Circuit-Free General-Purpose Multi-Party Computation via Co-Utile Unlinkable Outsourcing. CoRR (2021)
Cristòfol Daudén-Esmel, Jordi Castellà-Roca, Alexandre Viejo, Josep Domingo-Ferrer
Lightweight Blockchain-based Platform for GDPR-Compliant Personal Data Management. CSP (2021)
Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning). CoRR (2020)
Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, Najeeb Jebreel
Co-Utile Peer-to-Peer Decentralized Computing. CCGRID (2020)
David Sánchez, Sergio Martínez, Josep Domingo-Ferrer, Jordi Soria-Comas, Montserrat Batet
µ-ANT: semantic microaggregation-based anonymization tool. Bioinform. 36 (5) (2020)
Josep Domingo-Ferrer, Alberto Blanco-Justicia
Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph. Sci. Eng. Ethics 26 (3) (2020)
Rami Haffar, Josep Domingo-Ferrer, David Sánchez
Explaining Misclassification and Attacks in Deep Learning via Random Forests. MDAI (2020)
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 (2020)
Fadi Hassan, David Sánchez, Josep Domingo-Ferrer
Tumor Entity Recognition and Coding for Spanish Electronic Health Records. IberLEF@SEPLN (2020)
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)
Alberto Blanco-Justicia, Josep Domingo-Ferrer
Privacy-Preserving Computation of the Earth Mover's Distance. ISC (2020)
Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer, David Sánchez, David Rebollo-Monedero
Fair Detection of Poisoning Attacks in Federated Learning. ICTAI (2020)
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. CoRR (2020)
Josep Domingo-Ferrer, David Sánchez, Sara Ricci, Mónica Muñoz-Batista
Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds. Knowl. Inf. Syst. 62 (6) (2020)
Javier Parra-Arnau, Josep Domingo-Ferrer, Jordi Soria-Comas
Differentially private data publishing via cross-moment microaggregation. Inf. Fusion 53 (2020)
Josep Domingo-Ferrer, Jordi Soria-Comas
Multi-Dimensional Randomized Response. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR (2020)
Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer
Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. MDAI (2020)
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez
Machine learning explainability via microaggregation and shallow decision trees. Knowl. Based Syst. 194 (2020)
Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). PSD (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Fadi Hassan, Mohammed Jabreel, Najlaa Maaroof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno
ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF. IberLEF@SEPLN (2019)
Jordi Soria-Comas, Josep Domingo-Ferrer
Mitigating the Curse of Dimensionality in Data Anonymization. MDAI (2019)
Jordi Soria-Comas, Josep Domingo-Ferrer, Rafael Mulero-Vellido
Efficient Near-Optimal Variable-Size Microaggregation. MDAI (2019)
Fadi Hassan, David Sánchez, Jordi Soria-Comas, Josep Domingo-Ferrer
Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings. TrustCom/BigDataSE (2019)
Josep Domingo-Ferrer
18th Workshop on Privacy in the Electronic Society (WPES 2019). CCS (2019)
Alberto Blanco-Justicia, Josep Domingo-Ferrer
Machine Learning Explainability Through Comprehensible Decision Trees. CD-MAKE (2019)
Josep Domingo-Ferrer, Oriol Farràs, Jordi Ribes-González, David Sánchez
Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges. Comput. Commun. (2019)
Mohammed Jabreel, Fadi Hassan, Najlaa Maaroof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno
E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks. IberLEF@SEPLN (2019)
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)
Josep Domingo-Ferrer, Jordi Soria-Comas, Rafael Mulero-Vellido
Steered Microaggregation as a Unified Primitive to Anonymize Data Sets and Data Streams. IEEE Trans. Inf. Forensics Secur. 14 (12) (2019)
Josep Domingo-Ferrer
Personal Big Data, GDPR and Anonymization. FQAS (2019)
Alberto Blanco-Justicia, Josep Domingo-Ferrer
Efficient privacy-preserving implicit authentication. Comput. Commun. 125 (2018)
Huaqun Wang, Zhiwei Wang, Josep Domingo-Ferrer
Anonymous and secure aggregation scheme in fog-based public cloud computing. Future Gener. Comput. Syst. 78 (2018)
Jordi Soria-Comas, Josep Domingo-Ferrer
Differentially private data publishing via optimal univariate microaggregation and record perturbation. Knowl. Based Syst. 153 (2018)
David Sánchez, Josep Domingo-Ferrer, Sergio Martínez
Co-utile disclosure of private data in social networks. Inf. Sci. 441 (2018)
Josep Domingo-Ferrer, Alberto Blanco-Justicia, Carla Ràfols
Dynamic group size accreditation and group discounts preserving anonymity. Int. J. Inf. Sec. 17 (3) (2018)
Josep Domingo-Ferrer, Sara Ricci, Carles Domingo-Enrich
Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds. Inf. Sci. (2018)
Julián Salas, Josep Domingo-Ferrer
Some Basics on Privacy Techniques, Anonymization and their Big Data Challenges. Math. Comput. Sci. 12 (3) (2018)
Hiroaki Kikuchi, Josep Domingo-Ferrer, Sébastien Gambs
Anonymization methods and inference attacks: theory and practice (NII Shonan Meeting 2018-5). NII Shonan Meet. Rep. 2018 (2018)
Josep Domingo-Ferrer
Big Data Anonymization Requirements vs Privacy Models. ICETE (2) (2018)
Fadi Hassan, Josep Domingo-Ferrer, Jordi Soria-Comas
Anonymization of Unstructured Data via Named-Entity Recognition. MDAI (2018)
Nicolás Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer
On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. PSD (2018)
Josep Domingo-Ferrer, Jordi Soria-Comas
Connecting Randomized Response, Post-Randomization, Differential Privacy and t-Closeness via Deniability and Permutation. CoRR (2018)
Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas
Multiparty Computation with Statistical Input Confidentiality via Randomized Response. PSD (2018)
Mark Elliot, Josep Domingo-Ferrer
The future of statistical disclosure control. CoRR (2018)
David Sánchez, Sergio Martínez, Josep Domingo-Ferrer
How to Avoid Reidentification with Proper Anonymization. CoRR (2018)
Jordi Soria-Comas, Josep Domingo-Ferrer
Differentially Private Data Sets Based on Microaggregation and Record Perturbation. MDAI (2017)
Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Jordi Soria-Comas
Co-Utility: Self-Enforcing protocols for the mutual benefit of participants. Eng. Appl. Artif. Intell. 59 (2017)
Lei Zhang, Qianhong Wu, Josep Domingo-Ferrer, Bo Qin, Chuanyan Hu
Distributed Aggregate Privacy-Preserving Authentication in VANETs. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Jordi Soria-Comas, Josep Domingo-Ferrer
A Non-Parametric Model for Accurate and Provably Private Synthetic Data Sets. ARES (2017)
Jordi Soria-Comas, Josep Domingo-Ferrer, David Sánchez, David Megías
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees. IEEE Trans. Inf. Forensics Secur. 12 (6) (2017)
Josep Domingo-Ferrer, Sara Ricci, Jordi Soria-Comas
A Methodology to Compare Anonymization Methods Regarding Their Risk-Utility Trade-off. MDAI (2017)
Anna Oganian, Josep Domingo-Ferrer
Local synthesis for disclosure limitation that satisfies probabilistic k-anonymity criterion. Trans. Data Priv. 10 (1) (2017)
Aida Calvino, Palmira Aldeguer, Josep Domingo-Ferrer
Factor Analysis for Anonymization. ICDM Workshops (2017)
Josep Domingo-Ferrer
Privacy-Preserving and Co-utile Distributed Social Credit. IWOCA (2017)
Josep Domingo-Ferrer, Jordi Soria-Comas
Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams. ICDM Workshops (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Josep Domingo-Ferrer