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Leabhar:
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V. Torra (2022) Guide to Data Privacy: Models, Technologies, Solutions, Springer.
Introductory text to the field of data privacy, based on my lectures and my own research. It described privacy models (e.g., differential privacy, k-anonymity, privacy from re-identification, homomorphic encryption, secure multiparty computation), and devoted chapters to implementations for these privacy models (e.g., algorithms for differential privacy and k-anonymity, and examples of secure multiparty computation). This book belongs to Springer series title Undergraduate Topics in Computer Science (UTICS). Slides and code related to the book here |
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I am leading the research group PrivAcy-AWare traNSparent deCIsions research group,  Department of Computing Science, Umeå University, Sweden. No positions currently available. If any, they are posted at Umeå University web site, I usually post them at LinkedIn. |
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Research areas: data privacy (privacy preserving machine learning, anonymization), and on approximate reasoning (non-additive measures, fuzzy sets and systems, decision making). Research directions on data privacy; Research on modeling decisions and aggregation; Lecture notes on AI; Scala book. Naisc:
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| Bogearraí |
Code of some of my papers here
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| Mo thaighde |
If you are planning to invite me to review a paper the following is of your interest:
I am over-committed with reviews. So, I tend to decline reviews unless I am in the editorial board of the journal, the program committee of the conference, or it is an invitation from a journal in which I regularly publish. In particular, I decline by default all papers on hesitant fuzzy sets (I am very sorry but I have no time to read them all). Naturally, if a paper seems very interesting to me I may override these rules.
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Tionscadal: |
Vetenskapsrådet -- Swedish Research Council-- project: Privacy-aware secure explainable data-driven models in federated learning (VR 2023-05531, period 2024-2028). Call: VR Project grant for research into cyber and information security.
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Tionscadal: |
WASP NET project: CyberSecIT: Security and privacy of software-driven IoT systems. (WASP-NEST, 2022-2027).
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Tionscadal: |
Vetenskapsrådet -- Swedish Research Council-- project: Privacy for complex data (VR 2022-04645, period 2023-2027).
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Tionscadal: |
FORTE project: Appropriate automation: Toward and understanding of robots and AI in the social services from an organizational and user perspective (FORTE 2021-01422, 2021-2027).
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Results: |
Game theory and power indices. Introduction and characterization of a new index.
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Tionscadal: |
Kempe project:
Identification and analysis of non-additive measures (JCSMK22-0147, 2023-2024). Topics of interest: distances and derivatives for measures, measure identification.
Some papers in this area:
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Léacht: |
Plenary talks at INFUS 2024 (Turkey), and
FSTA 2024 (Slovak Republic)
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Leabhar eagraithe: |
Alan Said, Vicenç Torra (2019) Data Science in Practice, Springer.
"Data science is the science of data. Its goal is to explain processes and objects through the available data. The explanation is expected to be objective and accurate enough to make predictions. The ultimate goal of the explanations is to make informed decisions based on the knowledge extracted from the underlying data" (Chapter 1). This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. The book is structured into three parts: (i) the core concepts of data science, (ii) application domains, and (iii) specific tools for data science. |
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Seoladh: |
MIT-huset, Umeå universitet,
Umeå universitet, 901 87 Umeå, Sweden.
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Ríomhphost: |
Note that my old email address vt**ra@ii*a.c*ic.** does not work any more.
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Eagarthóir: |
Transactions on Data Privacy Indexed at DBLP, ACM Digital Library, MathSciNet, DOAJ, Elsevier (Scopus, EI) |
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Sé alt le déanaí: |
- Big data privacy and anonymization: KS Adewole, V Torra (2024) Energy disaggregation risk resilience through microaggregation and discrete Fourier transform. Inf. Sci. 662: 120211. (download) - Privacy-preserving ML model selection: V. Torra, M. Taha, G. Navarro-Arribas, The space of models in machine learning: using Markov chains to model transitions, Progress in Artificial Intelligence 10:3 (2021) 321-332. - Integral privacy: AK Vashney, V Torra, Integrally Private Model Selection for Deep Neural Networks. DEXA (2) 2023: 408-422 V. Torra, Towards integrally private clustering: overlapping clusters for high privacy guarantees, Proc. PSD 2022. - Decision making and aggregation: J Dujmovic, V Torra (2023) Logic Aggregators and Their Implementations. MDAI 2023: 3-42. (download) - Non-additive measures and integrals: S. S. Negi, V. Torra (2022) Delta-Choquet integral on time scales with applications, Chaos, Solitons and Fractals 157 (2022) 111969. (download, open access) |
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Leabhar: |
Shcríobh mé na leabhair:
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Táim ag eagrú |
PC co-chair: |
| Gníomhaíochtaí roghnaithe |
Cainteanna cuireadh le déanaí
(FSTA 2024); (INFUS 2024); (EUSFLAT 2023); (IUKM 2019); Big Data Privacy and Anonymization (IFIP Summer School 2016 on Privacy and Identity Management for Life); Choquet integral: distributions and decisions (83rd EWG-MCDA 2016); Transparency and Disclosure Risk in Data Privacy (PAIS 2015) Eagarthóir: Transactions on Data Privacy Bord eagarthóireachta: Fuzzy Sets and Systems (2004-), IEEE Transactions on Fuzzy Systems (2019-2022), Progress in Artificial Intelligence (2011-), J. of Advanced Computational Intelligence and Intel. Informatics (2007-), Int. J. of Computational Intelligence System (2008-), Information Sciences (2009-2019), Mathware and Soft Computing (2001-2010), EUSFLAT newsletter (Editor, 2005-2009), ACIA Newsletter (Butlletí de l'Associació Catalana d'Intel·ligència Artificial; NODES), Journal of Privacy Technology (2004-2007), Intelligent Decision Technologies (2007-2009?) Comhdhálacha: MDAI 2004- (PC co-chair); AGOP 2017 (chair); SweDS 2016 (chair); PST 2015 and (Privacy track PC co-chair); PSD 2004 (PC co-chair); CCIA 1998 (General chair) Cumainn eolaíochta: EUSFLAT (European Soc. for Fuzzy Logic and Techn.) (board 2001-2009; 2013-2017). ACIA (AI Catalan Assoc.) (Founding member, board 1996-2000; president 2010-2014). IEEE Institute of Electrical and Electronics Engineers (member 1996-, senior 2003-, fellow 2017-). |
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| Mo thaighde |
My research interests are between computer science and applied mathematics. I am interested in approximate reasoning, data privacy, machine learning (data mining and statistical learning), decision making, data aggregation and information fusion, fuzzy set theory. My specialization is in data privacy and in approximate reasoning. In more details:
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| Beathaisnéis |
1991. B. Sc. in Computer Science,
Universitat Politècnica de Catalunya (UPC) 1992. M. Sc. in Computer Science, UPC 1994. Ph. D. in Computer Science (Ph.D. Program on AI), UPC 1994. Assistant Professor (tenured), Universitat Rovira i Virgili (URV) 1994-1995. Deputy Dean of the School of Engineering, URV 1997. Associate Professor (tenured), URV 1999. Tenured Scientist (Associate Professor - Research Track), IIIA-CSIC 2004. Acreditation for Full Professorship 2008. Research Scientist (Senior Associate Professor - Research Track), IIIA-CSIC 2010. EurAI Fellow (former ECCAI) 2013. ISI Elected member 2014. Professor in Informatics, University of Skövde, Sweden 2016. IEEE Fellow. 2018. Professor, Hamilton Institute, Maynooth University, Ireland. 2020. Professor, Department of Computing Science, Umeå University, Sweden. | |
| Ailt (roghnaithe) |
Naisc:
DBLP,
MathSciNet,
Scholar Google
Leabhar (monagraif, roghnaithe): (see above) Ailt: Data privacy: (More detailed information and papers on data privacy here ) - S Garg, V Torra, Privacy in manifolds: Combining k-anonymity with differential privacy on Frechet means. Comput. Secur. 144: 103983 (2024). (here) - S Garg, V Torra, Task-Specific Knowledge Distillation with Differential Privacy in LLMs. ESORICS (2) 2024: 374-389. (here) - AK Varshney, V Torra, Integrally Private Model Selection for Deep Neural Networks. DEXA (2) 2023: 408-422. (here) - V. Torra, G. Navarro-Arribas, Integral Privacy, Proc. CANS 2016 661-669. (here) Graphs (data protection and analysis): - V. Torra, Y. Narukawa, On network analysis using non-additive integrals: extending the game-theoretic network centrality, Soft Computing 23:7 (2019) 2321-2329. (here) - V. Torra, A. Jonsson, G. Navarro-Arribas, J. Salas, Synthetic generation of spatial graphs, Int. J. of Intel. Systems 33:12 (2018) 2364-2378. (here) Information fusion / aggregation: - V. Torra, Y. Narukawa, Numerical integration for the Choquet integral, Information Fusion 31 (2016) 137-145. (here) - D. Abril, V. Torra, G. Navarro-Arribas, Supervised learning using a symmetric bilinear form for record linkage, Information Fusion 26 (2015) 144-153. (here) - V. Torra, Y. Narukawa, M. Sugeno, On the f-divergence for non-additive measures. Fuzzy Sets and Systems 292 (2016) 364-379. (here) - Y. Narukawa, V. Torra, Fuzzy measure and probability distributions: distorted probabilities, IEEE Trans. on Fuzzy Systems, 13:5 (2005) 617 - 629. - V. Torra, The Weighted OWA operator, Intl. J. of Intel. Syst., 12 (1997) 153-166. (here) Information retrieval and clustering: - V. Torra, S. Miyamoto, S. Lanau, Exploration of textual databases using a fuzzy hierarchical clustering algorithm in the GAMBAL system, Information Processing and Management, 41:3 (2005) 587-598. Approximate reasoning: - V. Torra, K. Stokes, A formalization of record linkage and its application to data protection, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems 20:6 (2012) 907-919. (here) - V. Torra, A review on the construction of hierarchical fuzzy systems, Int. J. of Intelligent Systems, 17:5 (2002) 531-543. Artificial Intelligence: - V. Torra, (2011), La inteligencia artificial, Revista Lychnos, Fundación General del CSIC, Diciembre de 2011. | |
| Eile | Information on projects, research stays, teaching activities, etc. : |
