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ORCIDJosep Domingo-Ferrer
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- affiliation: Rovira i Virgili University, Tarragona, Catalonia, Spain
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2020 – today
- 2023
[j132]Rami Haffar
, David Sánchez, Josep Domingo-Ferrer:
Explaining predictions and attacks in federated learning via random forests. Appl. Intell. 53(1): 169-185 (2023)- [j131]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: 1-18 (2023) - [j130]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): 160:1-160:16 (2023) - [j129]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): 1998-2023 (2023) - [j128]Najeeb Moharram Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating targeted attacks in federated learning. Knowl. Based Syst. 260: 110178 (2023) - [j127]Vicenç Torra, Josep Domingo-Ferrer:
Data privacy: state of the art. Trans. Data Priv. 16(1): 1-2 (2023) - [j126]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): 539-550 (2023) - [j125]Fadi Hassan, David Sánchez, Josep Domingo-Ferrer:
Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings. IEEE Trans. Knowl. Data Eng. 35(1): 1058-1071 (2023) - [c175]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li:
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. PAKDD (2) 2023: 428-440 - [i41]Krishnamurty Muralidhar, Josep Domingo-Ferrer:
Database Reconstruction Is Not So Easy and Is Different from Reidentification. CoRR abs/2301.10213 (2023) - [i40]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li:
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. CoRR abs/2302.12758 (2023) - [i39]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 abs/2311.03171 (2023) - [i38]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 abs/2311.11882 (2023) - 2022
- [j124]Josep Domingo-Ferrer, Sergio Martínez, David Sánchez:
Decentralized k-anonymization of trajectories via privacy-preserving tit-for-tat. Comput. Commun. 190: 57-68 (2022) - [j123]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): 255-278 (2022) - [j122]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): 3988-4000 (2022) - [j121]Javier Parra-Arnau, Thorsten Strufe, Josep Domingo-Ferrer:
Differentially private publication of database streams via hybrid video coding. Knowl. Based Syst. 247: 108778 (2022) - [j120]Josep Domingo-Ferrer, Jordi Soria-Comas:
Multi-Dimensional Randomized Response. IEEE Trans. Knowl. Data Eng. 34(10): 4933-4946 (2022) - [c174]Josep Domingo-Ferrer:
Ethics by Design in Decentralized Computing. EICC 2022: 111-113 - [c173]Josep Domingo-Ferrer, Jordi Soria-Comas:
Multi-Dimensional Randomized Response. ICDE 2022: 1517-1518 - [c172]Nicolás Ruiz, Josep Domingo-Ferrer:
Bistochastic Privacy. MDAI 2022: 53-67 - [c171]Rami Haffar, Ashneet Khandpur Singh, Josep Domingo-Ferrer, Najeeb Jebreel:
Measuring Fairness in Machine Learning Models via Counterfactual Examples. MDAI 2022: 119-131 - [c170]Josep Domingo-Ferrer:
Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers. PSD 2022: 133-141 - [c169]Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer:
Generation of Synthetic Trajectory Microdata from Language Models. PSD 2022: 172-187 - [e18]Josep Domingo-Ferrer, Maryline Laurent:
Privacy in Statistical Databases - International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings. Lecture Notes in Computer Science 13463, Springer 2022, ISBN 978-3-031-13944-4 [contents] - [i37]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 abs/2206.04621 (2022) - [i36]Najeeb Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating Targeted Attacks in Federated Learning. CoRR abs/2207.00872 (2022) - [i35]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
Defending against the Label-flipping Attack in Federated Learning. CoRR abs/2207.01982 (2022) - [i34]Nicolás Ruiz, Josep Domingo-Ferrer:
Bistochastic privacy. CoRR abs/2207.03940 (2022) - [i33]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. CoRR abs/2207.05978 (2022) - [i32]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 abs/2211.01656 (2022) - 2021
- [j119]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): 33-35 (2021) - [j118]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: 104468 (2021) - [j117]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): 1-6 (2021) - [j116]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): 2506-2517 (2021) - [c168]Cristòfol Daudén-Esmel, Jordi Castellà-Roca, Alexandre Viejo, Josep Domingo-Ferrer:
Lightweight Blockchain-based Platform for GDPR-Compliant Personal Data Management. CSP 2021: 68-73 - [c167]Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez:
Explaining Image Misclassification in Deep Learning via Adversarial Examples. MDAI 2021: 323-334 - [c166]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control. MDAI 2021: 335-345 - [i31]Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez:
Secure and Privacy-Preserving Federated Learning via Co-Utility. CoRR abs/2108.01913 (2021) - [i30]Josep Domingo-Ferrer, Jesús A. Manjón:
Circuit-Free General-Purpose Multi-Party Computation via Co-Utile Unlinkable Outsourcing. CoRR abs/2112.15001 (2021) - 2020
- [j115]David Sánchez, Sergio Martínez, Josep Domingo-Ferrer, Jordi Soria-Comas, Montserrat Batet:
µ-ANT: semantic microaggregation-based anonymization tool. Bioinform. 36(5): 1652-1653 (2020) - [j114]Javier Parra-Arnau, Josep Domingo-Ferrer, Jordi Soria-Comas:
Differentially private data publishing via cross-moment microaggregation. Inf. Fusion 53: 269-288 (2020) - [j113]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): 2301-2326 (2020) - [j112]Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez:
Machine learning explainability via microaggregation and shallow decision trees. Knowl. Based Syst. 194: 105532 (2020) - [j111]Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph. Sci. Eng. Ethics 26(3): 1267-1285 (2020) - [j110]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): 61-66 (2020) - [c165]Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, Najeeb Jebreel:
Co-Utile Peer-to-Peer Decentralized Computing. CCGRID 2020: 31-40 - [c164]Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer, David Sánchez, David Rebollo-Monedero:
Fair Detection of Poisoning Attacks in Federated Learning. ICTAI 2020: 224-229 - [c163]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Privacy-Preserving Computation of the Earth Mover's Distance. ISC 2020: 409-423 - [c162]Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer:
Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. MDAI 2020: 154-165 - [c161]Rami Haffar, Josep Domingo-Ferrer, David Sánchez:
Explaining Misclassification and Attacks in Deep Learning via Random Forests. MDAI 2020: 273-285 - [c160]Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez:
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). PSD 2020: 21-31 - [c159]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: 309-320 - [c158]Fadi Hassan, David Sánchez, Josep Domingo-Ferrer:
Tumor Entity Recognition and Coding for Spanish Electronic Health Records. IberLEF@SEPLN 2020: 376-384 - [e17]Josep Domingo-Ferrer, Krishnamurty Muralidhar:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings. Lecture Notes in Computer Science 12276, Springer 2020, ISBN 978-3-030-57520-5 [contents] - [i29]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 abs/2004.05222 (2020) - [i28]Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós:
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. CoRR abs/2010.03502 (2020) - [i27]Josep Domingo-Ferrer, Jordi Soria-Comas:
Multi-Dimensional Randomized Response. CoRR abs/2010.10881 (2020) - [i26]Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning). CoRR abs/2011.02352 (2020) - [i25]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 abs/2012.06810 (2020)
2010 – 2019
- 2019
- [j109]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. 140-141: 38-60 (2019) - [j108]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): 3298-3311 (2019) - [c157]Josep Domingo-Ferrer:
18th Workshop on Privacy in the Electronic Society (WPES 2019). CCS 2019: 2705-2706 - [c156]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Machine Learning Explainability Through Comprehensible Decision Trees. CD-MAKE 2019: 15-26 - [c155]Josep Domingo-Ferrer:
Personal Big Data, GDPR and Anonymization. FQAS 2019: 7-10 - [c154]Jordi Soria-Comas, Josep Domingo-Ferrer, Rafael Mulero-Vellido:
Efficient Near-Optimal Variable-Size Microaggregation. MDAI 2019: 333-345 - [c153]Jordi Soria-Comas, Josep Domingo-Ferrer:
Mitigating the Curse of Dimensionality in Data Anonymization. MDAI 2019: 346-355 - [c152]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: 712-719 - [c151]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: 727-734 - [c150]Fadi Hassan, David Sánchez, Jordi Soria-Comas, Josep Domingo-Ferrer:
Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings. TrustCom/BigDataSE 2019: 358-365 - [c149]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: 501-507 - [e16]Lorenzo Cavallaro, Johannes Kinder, Josep Domingo-Ferrer:
Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society, WPES@CCS 2019, London, UK, November 11, 2019. ACM 2019, ISBN 978-1-4503-6830-8 [contents] - 2018
- [j107]Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Efficient privacy-preserving implicit authentication. Comput. Commun. 125: 13-23 (2018) - [j106]Huaqun Wang, Zhiwei Wang, Josep Domingo-Ferrer:
Anonymous and secure aggregation scheme in fog-based public cloud computing. Future Gener. Comput. Syst. 78: 712-719 (2018) - [j105]Josep Domingo-Ferrer, Alberto Blanco-Justicia, Carla Ràfols:
Dynamic group size accreditation and group discounts preserving anonymity. Int. J. Inf. Sec. 17(3): 243-260 (2018) - [j104]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. 436-437: 320-342 (2018) - [j103]David Sánchez, Josep Domingo-Ferrer, Sergio Martínez:
Co-utile disclosure of private data in social networks. Inf. Sci. 441: 50-65 (2018) - [j102]Jordi Soria-Comas, Josep Domingo-Ferrer:
Differentially private data publishing via optimal univariate microaggregation and record perturbation. Knowl. Based Syst. 153: 78-90 (2018) - [j101]Julián Salas, Josep Domingo-Ferrer:
Some Basics on Privacy Techniques, Anonymization and their Big Data Challenges. Math. Comput. Sci. 12(3): 263-274 (2018) - [c148]Josep Domingo-Ferrer:
Big Data Anonymization Requirements vs Privacy Models. ICETE (2) 2018: 471-478 - [c147]Fadi Hassan, Josep Domingo-Ferrer, Jordi Soria-Comas:
Anonymization of Unstructured Data via Named-Entity Recognition. MDAI 2018: 296-305 - [c146]Nicolás Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer:
On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. PSD 2018: 59-74 - [c145]Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas:
Multiparty Computation with Statistical Input Confidentiality via Randomized Response. PSD 2018: 175-186 - [e15]Josep Domingo-Ferrer, Francisco Montes:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2018, Valencia, Spain, September 26-28, 2018, Proceedings. Lecture Notes in Computer Science 11126, Springer 2018, ISBN 978-3-319-99770-4 [contents] - [r33]Arvind Arasu, Josep Domingo-Ferrer:
Record Matching. Encyclopedia of Database Systems (2nd ed.) 2018 - [r32]Josep Domingo-Ferrer:
Data Rank/Swapping. Encyclopedia of Database Systems (2nd ed.) 2018 - [r31]Josep Domingo-Ferrer:
Disclosure Risk. Encyclopedia of Database Systems (2nd ed.) 2018 - [r30]Josep Domingo-Ferrer:
Inference Control in Statistical Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [r29]Josep Domingo-Ferrer:
Information Loss Measures. Encyclopedia of Database Systems (2nd ed.) 2018 - [r28]Josep Domingo-Ferrer:
k-Anonymity. Encyclopedia of Database Systems (2nd ed.) 2018 - [r27]Josep Domingo-Ferrer:
Microaggregation. Encyclopedia of Database Systems (2nd ed.) 2018 - [r26]Josep Domingo-Ferrer:
Microdata. Encyclopedia of Database Systems (2nd ed.) 2018 - [r25]Josep Domingo-Ferrer:
Microdata Rounding. Encyclopedia of Database Systems (2nd ed.) 2018 - [r24]Josep Domingo-Ferrer:
Noise Addition. Encyclopedia of Database Systems (2nd ed.) 2018 - [r23]Josep Domingo-Ferrer:
Nonperturbative Masking Methods. Encyclopedia of Database Systems (2nd ed.) 2018 - [r22]Josep Domingo-Ferrer:
PRAM. Encyclopedia of Database Systems (2nd ed.) 2018 - [r21]Josep Domingo-Ferrer:
Record Linkage. Encyclopedia of Database Systems (2nd ed.) 2018 - [r20]Josep Domingo-Ferrer:
SDC Score. Encyclopedia of Database Systems (2nd ed.) 2018 - [r19]Josep Domingo-Ferrer:
Synthetic Microdata. Encyclopedia of Database Systems (2nd ed.) 2018 - [r18]Josep Domingo-Ferrer:
Tabular Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [i24]Josep Domingo-Ferrer, Jordi Soria-Comas:
Connecting Randomized Response, Post-Randomization, Differential Privacy and t-Closeness via Deniability and Permutation. CoRR abs/1803.02139 (2018) - [i23]David Sánchez, Sergio Martínez, Josep Domingo-Ferrer:
How to Avoid Reidentification with Proper Anonymization. CoRR abs/1808.01113 (2018) - [i22]Mark Elliot, Josep Domingo-Ferrer:
The future of statistical disclosure control. CoRR abs/1812.09204 (2018) - [i21]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) - 2017
- [j100]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: 148-158 (2017) - [j99]Anna Oganian, Josep Domingo-Ferrer:
Local synthesis for disclosure limitation that satisfies probabilistic k-anonymity criterion. Trans. Data Priv. 10(1): 61-81 (2017) - [j98]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): 1418-1429 (2017) - [j97]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): 516-526 (2017) - [c144]Jordi Soria-Comas, Josep Domingo-Ferrer:
A Non-Parametric Model for Accurate and Provably Private Synthetic Data Sets. ARES 2017: 3:1-3:10 - [c143]Aida Calvino, Palmira Aldeguer, Josep Domingo-Ferrer:
Factor Analysis for Anonymization. ICDM Workshops 2017: 984-991 - [c142]Josep Domingo-Ferrer, Jordi Soria-Comas:
Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams. ICDM Workshops 2017: 995-1002 - [c141]Josep Domingo-Ferrer:
Privacy-Preserving and Co-utile Distributed Social Credit. IWOCA 2017: 371-382 - [c140]