Feel free to also visit my Google Scholar profile.
D. Rebollo-Monedero, “Quantization and transforms for distributed source coding,” Ph.D. dissertation, Stanford University, Dec. 2007 [PDF]. Supervised by Prof. B. Girod.
S. Puglisi, “Analysis, modelling and protection of online private data,” Ph.D. dissertation, Technical University of Catalonia (UPC), Jun. 2017. Supervised in collaboration with with Prof. J. Forné.
J. Parra-Arnau, “Privacy protection of user profiles in personalized information systems,” Ph.D. dissertation, Technical University of Catalonia (UPC), Dec. 2013 [PDF]. Best Ph.D. Thesis Award on Information and Communication Technologies in Banking, bestowed by the Spanish Official Telecommunication Engineering Association (COIT) and Banco Sabadell. Supervised in collaboration with Prof. J. Forné.
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, book chapter “Privacy-Enhancing Technologies and Metrics in Personalized Information Systems” in “Advanced Research in Data Privacy”, (Springer) Studies in Computational Intelligence, vol. 567, 2015, pp. 423-442. DOI: 10.1007/978-3-319-09885-2_23.
J. M. Serna-Olvera, R. A. Morales Pacheco, J. Parra-Arnau, D. Rebollo-Monedero, Jordi Forné, “Privacy in Vehicular Ad-Hoc Networks,” in "Privacy in a Digital, Networked World", edited by S. Zeadally and B. Mohamad, Springer, Aug. 2015, ISBN: 978-3-319-08469-5.
D. Rebollo-Monedero, B. Girod, book chapter 3, "Quantization for Distributed Source Coding", in "Distributed Source Coding: Theory, Algorithms and Applications", edited by P. L. Dragotti and M. Gastpar, Academic Press, Elsevier, Feb. 2009, ISBN-13: 978-0-12-374485-2.
A. Rodríguez-Hoyos, D. Rebollo-Monedero, J. Estrada-Jiménez, J. Forné, and L. Urquiza-Aguiar, “Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis,” Engineering Applications of Artificial Intelligence, vol. 94, no. 103787, Sep. 2020. DOI: 10.1016/j.engappai.2020.103787
M. Aguilar, F. Almenares, R. P. Díaz Redondo, M. I. Martín, J. Forné, C. Campo, A. Fernández, L. J. de la Cruz, C. García-Rubio, A. Marín, A. Mezher, D. Díaz, H. Cerezo, D. Rebollo-Monedero, P. Arias, F. Rico, et al. “INRISCO: INcident monitoRing In Smart COmmunities,” IEEE Access, vol. 8, pp. 72435–72460, Apr. 2020. DOI: 10.1109/ACCESS.2020.2987483
A. Rodríguez-Hoyos, J. Estrada-Jiménez, D. Rebollo-Monedero, J. Parra-Arnau, and J. Forné, “The fast maximum distance to average vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data,” Engineering Applications of Artificial Intelligence, vol. 90, no. 103531, Apr. 2020. DOI: 10.1016/j.engappai.2020.103531
E. Pallarès, D. Rebollo-Monedero, A. Rodríguez-Hoyos, J. Estrada-Jiménez, A. Mohamad Mezher, and J. Forné, “Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets,” Expert Systems with Applications, vol. 144, no. 113086, Apr. 2020, DOI: 10.1016/j.eswa.2019.113086, [PDF].
D. Rebollo-Monedero, A. Mohamad Mezher, X. Casanova Colomé, J. Forné, and M. Soriano, “Efficient k-anonymous microaggregation of multivariate numerical data via principal component analysis,” Information Sciences, vol. 503, pp. 417–443, Nov. 2019, DOI 10.1016/j.ins.2019.07.042, [PDF].
D. Rebollo-Monedero, C. Hernández-Baigorri, J. Forné, and M. Soriano, “Incremental k-anonymous microaggregation in large-scale electronic surveys with optimized scheduling,” IEEE Access, vol. 6, no. 1, pp. 60016–60044, Dec. 2018 [PDF]. DOI: 10.1109/ACCESS.2018.2875949
A. Rodríguez-Hoyos, J. Estrada-Jiménez, D. Rebollo-Monedero, J. Parra-Arnau, J. Forné, “Does k-anonymous microaggregation affect machine-learned macrotrends?,” IEEE Access, vol. 6, pp. 28258–28277, May 2018. DOI: 10.1109/ACCESS.2018.2834858
S. Puglisi, D. Rebollo-Monedero, and J. Forné, “On the anonymity risk of time-varying user profiles,” (MDPI) Entropy, vol. 19, no. 5, 2017, preprint available online. DOI: 10.3390/e19050190
S. Puglisi, D. Rebollo-Monedero, and J. Forné, “On web user tracking of browsing patterns for personalised advertising,” Int. J. Parallel, Emerg., Distrib. Syst., pp. 1–20, 2017. (Not in JCR.)
D. Rebollo-Monedero, J. Forné, M. Soriano, and J. Puiggalí Allepuz, "p-Probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation," Inform. Sci., vol. 382–383, pp. 388–414, Mar. 2017 [PDF]. DOI: 10.1016/j.ins.2016.12.002
J. Parra-Arnau, F. Gómez-Mármol, D. Rebollo-Monedero, and J. Forné, “Shall I post this now? Optimized, delay-based privacy protection in social networks,” Knowl., Inform. Syst., vol. 52, no. 1, pp. 113–145, Jul. 2017 [PDF]. DOI: 10.1007/s10115-016-1010-4
D. Rebollo-Monedero, J. Forné, M. Soriano, and J. Puiggalí Allepuz, "k-Anonymous microaggregation with preservation of statistical dependence," Inform. Sci., vol. 342, May 2016, pp. 1-23 [PDF]. DOI: 10.1016/j.ins.2016.01.012
A. Rodriguez-Carrion, D. Rebollo-Monedero, J. Forné, C. Campo, C. Garcia Rubio, J. Parra-Arnau, S. Das, "Entropy-Based Privacy against Profiling of User Mobility, " (MDPI) Entropy, vol. 17, no. 6, Jun. 2015, pp. 3913-3946. DOI: 10.3390/e17063913
L. Urquiza-Aguiar, C. Tripp-Barba, D. Rebollo-Monedero, A. Mezher, M. Aguilar, and J. Forné, "Coherent and Automatic Address Resolution for Vehicular Ad Hoc Networks, " Int. J. Ad Hoc, Ubiquitous Comput., in press (ref. IJAHUC_82988). DOI: 10.1504/IJAHUC.2017.10001935
S. Puglisi, J. Parra-Arnau, J. Forné, D. Rebollo-Monedero, “On Content-Based Recommendation and User Privacy in Social-Tagging Systems,” (Elsevier) Comput. Standards & Interfaces, vol. 41, Sept. 2015, pp. 17–27. DOI: 10.1016/j.csi.2015.01.004
D. Rebollo-Monedero, J. Parra-Arnau, J. Forné, and C. Díaz, “Optimizing the Design Parameters of Threshold Pool Mixes for Anonymity and Delay,” (Elsevier) Comput. Netw., vol. 67, Jul. 2014, pp 180-200 [PDF]. DOI: 10.1016/j.comnet.2014.04.007
Javier Parra-Arnau, David Rebollo-Monedero, Jordi Forné, "Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems," (MDPI) Entropy, vol. 16, no. 3, Mar. 2014, pp. 1586-1634 [PDF]. DOI: 10.3390/e16031586
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, “Measuring the Privacy of User Profiles in Personalized Information Systems,” (Elsevier) Future Gen. Comput. Sys. (FGCS), Special Issue Data Knowl. Eng., vol. 33, Apr. 2014, pp. 53–63. DOI: 10.1016/j.future.2013.01.001
D. Rebollo-Monedero, A. Bartoli, J. Hernández-Serrano, J. Forné, M. Soriano, “Reconciling Privacy and Efficient Utility Management in Smart Cities,” (Wiley) Trans. Emerging Telecommun. Tech., Special Issue Smart Cities, vol. 25, no. 1, pp. 94–108, Jan. 2014 [PDF]. DOI: 10.1002/ett.2708
C. Tripp-Barba, L. Urquiza Aguiar, M. Aguilar Igartua, D. Rebollo-Monedero, A. Mezher, L. J. de la Cruz Llopis, "A Multimetric, Map-Aware Routing Protocol for VANETs in Urban Areas," (MDPI) Sensors, vol. 14, no. 2, pp. 2199-2224, Jan. 2014. DOI: 10.3390/s140202199
D. Rebollo-Monedero, J. Parra-Arnau, J. Forné, "A criterion for the measurement of the privacy of user profiles," (International Information Institute) Information (Tokyo) J., vol. 16, no. 12(A), Dec. 2013, pp. 8285-8290. (DOI unavailable.)
C. Tripp-Barba, L. Urquiza, M. Aguilar, J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, E. Pallarès, "A Collaborative Protocol for Anonymous Reporting in Vehicular Ad Hoc Networks," (Elsevier) Comput. Standards, Interfaces, vol. 36, no. 1, Nov. 2013, pp. 188–197. DOI: 10.1016/j.csi.2013.06.001
D. Rebollo-Monedero, J. Forné, E. Pallarès, J. Parra-Arnau, C. Tripp, L. Urquiza, M. Aguilar, “On Collaborative Anonymous Communications in Lossy Networks,” (Wiley) Secur., Commun. Netw., Special Issue Secur. Completely Interconn. World, vol. 7, May. 2013, pp. 2761–2777 [PDF]. DOI: 10.1002/sec.793
J. Parra-Arnau, A. Perego, E. Ferrari, J. Forné, D. Rebollo-Monedero, “Privacy-Preserving Enhanced Collaborative Tagging,” IEEE Trans. Knowl. Data Eng., vol. 26, no. 1, pp. 180-193, Jan. 2014. DOI: 10.1109/TKDE.2012.248
D. Rebollo-Monedero, Javier Parra-Arnau, Claudia Diaz and Jordi Forné, “On the Measurement of Privacy as an Attacker’s Estimation Error,” (Springer) Int. J. Inform. Secur., vol. 12, no. 2, Apr. 2013, pp. 129-149 [PDF]. DOI: 10.1007/s10207-012-0182-5
D. Rebollo-Monedero, J. Forné, E. Pallarès, J. Parra-Arnau, “A Modification of the Lloyd Algorithm for k-Anonymous Quantization,” (Elsevier) Inform. Sci., vol. 222, Feb. 2013, pp. 185-202 [PDF]. DOI: 10.1016/j.ins.2012.08.022
D. Rebollo-Monedero, M. Solé, J. Nin, J. Forné, “A Modification of the k-Means Method for Quasi-Unsupervised Learning,” (Elsevier) Knowl.-Based Sys., vol. 37, Jan. 2013, pp. 176-185 [PDF]. DOI: 10.1016/j.knosys.2012.07.024
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, J. L. Muñoz, O. Esparza, “Optimal Tag Suppression for Privacy Protection in the Semantic Web,” (Elsevier) Data, Knowl. Eng., vol. 81–82, Nov.–Dec. 2012, pp. 46–66, Aug. 2012 [PDF]. DOI: 10.1016/j.datak.2012.07.004
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, “A Privacy-Protecting Architecture for Recommendation Systems via the Suppression of Ratings,” (SERSC) Int. J. Security, Appl., Sci., Eng. Res. Supp. Soc. (IJSIA), vol. 6, no. 2, pp. 61-80, Apr. 2012 [PDF]. (Not JCR)
D. Rebollo-Monedero, J. Forné, J. Domingo-Ferrer, "Query Profile Obfuscation by means of Optimal Query Exchange between Users,” IEEE Trans. Depend., Secure Comput., Special Issue Data, App. Security (DAS), vol. 9, no. 5, Sept.-Oct. 2012, pp. 641-654 [PDF]. DOI: 10.1109/TDSC.2012.16
D. Rebollo-Monedero, J. Forné, M. Soriano, “An Algorithm for k-Anonymous Microaggregation and Clustering Inspired by the Design of Distortion-Optimized Quantizers,” (Elsevier) Data, Knowl. Eng., vol. 70, no. 10, Oct. 2011, pp. 892-921 [PDF]. DOI: 10.1016/j.datak.2011.06.005.
D. Rebollo-Monedero, J. Forné, J. Domingo-Ferrer, “From t-Closeness-Like Privacy to Postrandomization via Information Theory,” IEEE Trans. Knowl., Data Eng., vol. 22, no. 11, Nov. 2010, pp. 1623-1636 [PDF]. DOI: 10.1109/TKDE.2009.190. We recommend the slightly extended version [PDF].
D. Rebollo-Monedero, J. Forné, “Optimized Query Forgery for Private Information Retrieval,” IEEE Trans. Inform. Theory, vol. 56, no. 9, Sept. 2010, pp. 4631-4642 [PDF]. DOI: 10.1109/TIT.2010.2054471
D. Rebollo-Monedero, J. Forné, A. Solanas, T. Martínez-Ballesté, “Private Location-Based Information Retrieval through User Collaboration,” (Elsevier) Comput. Commun., vol. 33, no. 6, Apr. 2010, pp. 762-774 [PDF]. DOI: 10.1016/j.comcom.2009.11.024
D. Rebollo-Monedero, J. Forné, “How do we measure privacy?,” Upgrade J., vol. XI, no. 1, Feb. 2010, pp. 53-58. We recommend the typographically improved version [PDF]. (Not JCR)
D. Rebollo-Monedero, S. Rane, A. Aaron and B. Girod, “High-rate quantization and transform coding with side information at the decoder,” (Elsevier) Signal Processing, Special Issue Distrib. Source Coding, vol. 86, no. 11, Nov. 2006, pp. 3160-3179, invited paper [PDF].DOI: 10.1016/j.sigpro.2006.03.015
B. Girod, A. Aaron, S. Rane and D. Rebollo-Monedero, “Distributed Video Coding,” in Proc. IEEE, Special Issue Advances Video Coding, Delivery, vol. 93, no. 1, pp. 71-83, Jan. 2005, invited paper [PDF]. DOI: 10.1109/JPROC.2004.839619
A. Rodríguez-Hoyos, J. Estrada-Jiménez, D. Rebollo-Monedero, J. Forné, R. Trapero, A. Álvarez, and R. Rodríguez, “Anonymizing cybersecurity data in critical infrastructures: The CIPSEC approach,” in Proc. Int. Conf. Inform. Syst. Crisis Response, Mgmt. (ISCRAM), València, Spain, May 2019.
P. Blasco, J. Moreira, J. Puiggalí, J. Cucurull, and D. Rebollo-Monedero, “Improving opinion analysis through statistical disclosure control in evoting scenarios,” in Proc. Int. Conf. Electron. Gov., Inform. Syst. Perspect. (EGovIS), ser. Lect. Notes Comput. Sci. (LNCS), vol. 11032, Regensburg, Germany, Sep. 2018, pp. 45–59.
A. Mohamad Mezher, A. García-Álvarez, D. Rebollo-Monedero, and J. Forné, “Computational improvements in parallelized k-anonymous microaggregation of large databases,” in Proc. Int. Workshop Priv., Secur. Big Data (PSBD), part of the IEEE 37th Int. Conf. Distrib. Comput. Syst. (ICDCS) Workshops, Atlanta, GA, Jun. 2017.
S. Puglisi, D. Rebollo-Monedero, and J. Forné, “On Web user tracking: How third-party HTTP requests track users’ browsing patterns for personalised advertising,” in Proc. IFIP Medit. Ad Hoc Netw. Workshop, Vilanova i la Geltrú, Spain, Jun. 2016.
S. Puglisi, D. Rebollo-Monedero, and J. Forné, “Potential mass surveillance and privacy violations in proximity-based social applications,” in Proc. IEEE Int. Conf. Trust, Secur., Priv., Comput., Commun. (TRUSTCOM), Helsinki, Finland, Aug. 2015, pp. 1045–1052.
S. Puglisi, D. Rebollo-Monedero, and J. Forné, “You never surf alone: Ubiquitous tracking of users’ browsing habits,” in Proc. Int. Workshop Data Priv. Mgmt. (DPM), ser. Lect. Notes Comput. Sci. (LNCS), vol. 9481, Vienna, Austria, Sep. 2015, pp. 273–280.
D. Rebollo-Monedero, J. Parra-Arnau, J. Forné, "An Information-theoretic privacy criterion for query forgery in information retrieval," in Proc. International Conference on Security Technology (SecTech), vol. 259, Jeju Island, Korea, Dec. 2011, pp. 146-154 [PDF]. Best paper award. See also extended version [PDF].
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, "A Privacy-Protecting Architecture for Collaborative Filtering via Forgery and Suppression of Ratings," in Proc. 6th International Workshop on Data Privacy Management (DPM), Lecture Notes Comput. Sci. (LNCS), vol. 7122, Leuven, Belgium, Sept. 2011, pp. 42-57 [PDF].
J. Parra-Arnau, D. Rebollo-Monedero, J. Forné, "A Privacy-Preserving Architecture for the Semantic Web based on Tag Suppression," in Proc. 7th International Conference on Trust, Privacy & Security in Digital Business (TRUSTBUS), Lecture Notes Comput. Sci. (LNCS), vol. 5141, Bilbao, Spain, Aug. 2010, pp. 58-68 [PDF].
D. Rebollo-Monedero, J. Forné, M. Soriano, "Private Location-Based Information Retrieval via k-Anonymous Clustering," in Proc. CNIT Tyrrhenian Int. Workshop Digital Commun., Pula, Sardinia, Italy, Sept. 2-4, 2009, pp. 421-430 [PDF]. See also extended version [PDF] and presentation [PDF].
J. Domingo-Ferrer, D. Rebollo-Monedero, "Measuring risk and utility of anonymized data using information theory," in Proc. Int. Workshop Privacy Anonym. Inform. Soc. (PAIS), Saint Petersburg, Russia, Mar., 2009.
D. Rebollo-Monedero, J. Forné, L. Subirats, A. Solanas, A. Martínez-Ballesté, "A collaborative protocol for private retrieval of location-based information," in Proc. IADIS Int. Conf. e-Society, Barcelona, Spain, Feb. 2009, pp. 19-26. [PDF].
D. Rebollo-Monedero, J. Forné, J. Domingo-Ferrer, "From t-Closeness to PRAM and noise addition via information theory," in Proc. Privacy Stat. Databases (PSD), Lecture Notes Comput. Sci. (LNCS), Istambul, Turkey, Sept. 2008, pp. 100-112 [PDF]. See also PSD'08 presentation [PDF].
D. Rebollo-Monedero, B. Girod, "Network distributed quantization," in Proc. Information Theory Workshop, Tahoe City, CA, Sept. 2007, pp. 426-431, invited paper [PDF].
S. Rane, D. Rebollo-Monedero, B. Girod, "High-rate analysis of systematic lossy error protection of a predictively encoded source," in Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, Mar. 2007, pp. 263-272 [PDF].
D. Rebollo-Monedero and B. Girod, "A generalization of the rate-distortion function for Wyner-Ziv coding of noisy sources in the quadratic-Gaussian case," in Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, Mar. 2005, pp. 23-32 [PDF]. See also presentation [PPT, PDF].
D. Rebollo-Monedero and B. Girod, "Design of optimal quantizers for distributed coding of noisy sources," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), vol. 5, Philadelphia, PA, Mar. 2005, pp. 1097-1100, invited paper [PDF]. See also ICASSP presentation [PPT].
D. Rebollo-Monedero, S. Rane, and B. Girod, "Wyner-Ziv quantization and transform coding of noisy sources at high rates," in Proc. Asilomar Conf. Signals, Syst., Comput., vol. 2, Pacific Grove, CA, Nov. 2004, pp. 2084-2088 [PDF]. See also presentation [PDF].
D. Rebollo-Monedero, A. Aaron and B. Girod, "Transforms for high-rate distributed source coding," in Proc. Asilomar Conf. Signals, Syst., Comput., vol. 1, Pacific Grove, CA, Nov. 2003, pp. 850-854, invited paper [PDF]. See also presentation [PDF].
Aaron, S. Rane, D. Rebollo-Monedero and B. Girod, "Systematic lossy forward error protection for video waveforms," in Proc. Int. Conf. Image Processing (ICIP), Barcelona, Spain, Sept. 2003, pp. I-609-612.
D. Rebollo-Monedero, R. Zhang, and B. Girod, "Design of optimal quantizers for distributed source coding," in Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, Mar. 2003, pp. 13–22 [PDF]. See also presentation [PDF]. Further details in report.
J. Forné, J. Melús, D. Rebollo-Monedero, "Securing multimedia applications over B-ISDN," in Proc. 3rd Int. Workshop Protocols Multim. Syst. (PROMS), Madrid, Spain, Oct. 1996 [PDF].
J. Estrada, A. Rodríguez, J. Parra-Arnau, J. Forné, D. Rebollo-Monedero, "Medición de la Privacidad de Perfiles de Usuario mediante un add-on de Navegador", XI Jornadas de Ingeniería Telemática (JITEL), Granada, Spain, Oct. 2013, pp. 93-100.
J. Soria-Comas, J. Domingo-Ferrer, D. Rebollo-Monedero, "k-Anonimato Probabilístico," XII Reunión Española sobre Criptología y Seguridad de la Información (RECSI), Donostia-San Sebastián, Spain, Sept. 2012, pp. 249-254.
D. Rebollo-Monedero, J. Parra-Arnau, J. Forné, “Un criterio de privacidad basado en teoría de la información para la generación de consultas falsas,” XI Reunión Española sobre Criptología y Seguridad de la Información (RECSI), Tarragona, Spain, Sept. 2010, pp. 129-134.
D. Rebollo-Monedero, J. Forné, J. Jarne, "Plataforma de negociación de servicios de seguridad en Internet," Jornadas de Ingeniería Telemática (JITEL), Bilbao, Spain, Sept. 1997 [PDF].
J. Forné, J. Melús, D. Rebollo-Monedero, "Gestión eficiente de claves en redes de grandes dimensiones," in Actas de la IV Reunión Española de Criptología, Valladolid, Spain, Sept. 1996 [PDF].
D. Rebollo-Monedero, "Mathematical Foundations of Stochastic Estimation — Theory of Projections," Project Report 1/3 for EE373A Adaptive Signal Processing and EE373B Adaptive Neural Networks, 2001 [PDF].
D. Rebollo-Monedero, "Mathematical Foundations of Stochastic Estimation — Vectors of Vectors," Project Report 2/3 for EE373A Adaptive Signal Processing and EE373B Adaptive Neural Networks, 2001 [PDF].