
Leabhar:

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, kanonymity, privacy from reidentification, homomorphic encryption, secure multiparty computation), and devoted chapters to implementations for these privacy models (e.g., algorithms for differential privacy and kanonymity, 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 

Tionscadal: 
Kempe project: Identification and analysis of nonadditive measures (JCSMK220147, 20232024). Topics of interest: distances and derivatives for measures, measure identification.


: 
Open postdoc positions  another is plan in 2023 (PrivAcyAWare traNSparent deCIsions research group, Dept. Computing Science, Umeå University, Sweden). Naisc:


Mo thaighde 
If you are planning to invite me to review a paper the following is of your interest:
I am overcommitted 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.


Tionscadal: 
WASP NET project: CyberSecIT: Security and privacy of softwaredriven IoT systems. (WASPNEST, 20222027).


Tionscadal: 
Vetenskapsrådet  Swedish Research Council project: Privacy for complex data (VR 202204645, period 20232027).


Tionscadal: 
FORTE project: Appropriate automation: Toward and understanding of robots and AI in the social services from an organizational and user perspective (FORTE 202101422, 20212027).


Léacht: 
Plenary talk at INFUS 2023 (Istambul).


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. 

Seoladh: 
MIThuset, Umeå universitet,
Umeå universitet, 901 87 Umeå, Sweden.


Ríomhphost: 
Note that my old email address vt**ra@ii*a.c*ic.** does not work any more.


Eagarthóir: 
Transactions on Data Privacy Indexed at DBLP, ACM Digital Library, MathSciNet, DOAJ, Elsevier (Scopus, EI) 

Sé alt le déanaí: 
 Big data privacy and anonymization: K. S. Adewole, V. Torra (2022) DFTMicroagg: a duallevel anonymization algorithm for smart grid data. Int. J. Inf. Sec. 21 12991321. (download)  Privacypreserving ML model selection: V. Torra, M. Taha, G. NavarroArribas, The space of models in machine learning: using Markov chains to model transitions, Progress in Artificial Intelligence 10:3 (2021) 321332.  Integral privacy: V. Torra, Towards integrally private clustering: overlapping clusters for high privacy guarantees, Proc. PSD 2022.  ML, record linkage, and disclosure risk: N. Senavirathne, V. Torra (2021) Dissecting Membership Inference Risk in Machine Learning, Proc. CSS 2021: 3654. (download)  Decision making and aggregation: J. Dujmovic, V. Torra (2021) Properties and comparison of andnesscharacterized aggregators, Int. J. Intell. Syst. 36 13661385. (download)  Nonadditive measures and integrals: S. S. Negi, V. Torra (2022) DeltaChoquet integral on time scales with applications, Chaos, Solitons and Fractals 157 (2022) 111969. (download, open access) 

Leabhar: 
Shcríobh mé na leabhair:


Táim ag eagrú 
PC cochair: 

Gníomhaíochtaí roghnaithe 
Cainteanna cuireadh le déanaí
(INFUS 2022); Nonadditive measures, set distances and cost functions on sets: A FréchetNikodymAronszajn distance and cost function (IUKM 2019); Big Data Privacy and Anonymization (IFIP Summer School 2016 on Privacy and Identity Management for Life); Choquet integral: distributions and decisions (83rd EWGMCDA 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 (20192022), Progress in Artificial Intelligence (2011), J. of Advanced Computational Intelligence and Intel. Informatics (2007), Int. J. of Computational Intelligence System (2008), Information Sciences (20092019), Mathware and Soft Computing (20012010), EUSFLAT newsletter (Editor, 20052009), ACIA Newsletter (Butlletí de l'Associació Catalana d'Intel·ligència Artificial; NODES), Journal of Privacy Technology (20042007), Intelligent Decision Technologies (20072009?) Comhdhálacha: MDAI 20042023 (PC cochair); AGOP 2017 (chair); SweDS 2016 (chair); PST 2015 and (Privacy track PC cochair); PSD 2004 (PC cochair); CCIA 1998 (General chair) Cumainn eolaíochta: EUSFLAT (European Soc. for Fuzzy Logic and Techn.) (board 20012009; 20132017). ACIA (AI Catalan Assoc.) (Founding member, board 19962000; president 20102014). IEEE Institute of Electrical and Electronics Engineers (member 1996, senior 2003, fellow 2017). 

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:


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) 19941995. Deputy Dean of the School of Engineering, URV 1997. Associate Professor (tenured), URV 1999. Tenured Scientist (Associate Professor  Research Track), IIIACSIC 2004. Acreditation for Full Professorship 2008. Research Scientist (Senior Associate Professor  Research Track), IIIACSIC 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 )  N. Senavirathne, V. Torra, Integrally Private Model Selection For Decision Trees, Computers \& Security 83 (2019) 167181. (here: open access)  V. Torra, G. NavarroArribas, Integral Privacy, Proc. CANS 2016 661669. (here)  V. Torra, Constrained Microaggregation: Adding Constraints for Data Editing, Transactions on Data Privacy 1:2 (2008) 86104. (here)  J. Nin, J. Herranz, V. Torra, Rethinking rank swapping to decrease disclosure risk, Data & Knowledge Engineering, 64:1 (2008) 346364. (here)  J. DomingoFerrer, V. Torra, Ordinal, Continuous and Heterogeneous kAnonymity Through Microaggregation, Data Mining and Knowledge Discovery, 11:2 (2005) 195212. (here)  J. DomingoFerrer, V. Torra, Disclosure control methods and information loss for microdata, in P. Doyle, J. I. Lane, J. J. M. Theeuwes, L. V. Zayatz (Eds), Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, (ISBN:0444507612, NorthHolland, 2001), 91110. (here)  J. DomingoFerrer, V. Torra, A quantitative comparison of disclosure methods for microdata, in P. Doyle, J. I. Lane, J. J. M. Theeuwes, L. V. Zayatz (Eds), Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, (ISBN:0444507612, NorthHolland, 2001), 111133. (here) Graphs (data protection and analysis):  V. Torra, Y. Narukawa, On network analysis using nonadditive integrals: extending the gametheoretic network centrality, Soft Computing 23:7 (2019) 23212329. (here)  V. Torra, A. Jonsson, G. NavarroArribas, J. Salas, Synthetic generation of spatial graphs, Int. J. of Intel. Systems 33:12 (2018) 23642378. (here) Information fusion / aggregation:  V. Torra, Y. Narukawa, Numerical integration for the Choquet integral, Information Fusion 31 (2016) 137145. (here)  D. Abril, V. Torra, G. NavarroArribas, Supervised learning using a symmetric bilinear form for record linkage, Information Fusion 26 (2015) 144153. (here)  V. Torra, Y. Narukawa, M. Sugeno, On the fdivergence for nonadditive measures. Fuzzy Sets and Systems 292 (2016) 364379. (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) 153166. (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) 587598. Approximate reasoning:  V. Torra, K. Stokes, A formalization of record linkage and its application to data protection, Int. J. of Uncertainty, Fuzziness and KnowledgeBased Systems 20:6 (2012) 907919. (here)  V. Torra, A review on the construction of hierarchical fuzzy systems, Int. J. of Intelligent Systems, 17:5 (2002) 531543.  
Eile  Information on projects, research stays, teaching activities, etc. : 