Professor

Jean-Pierre Hubaux
Jean-Pierre Hubaux in 2011
Born
Liège, Belgium
CitizenshipSwitzerland
Belgium
Known forInformation security
Privacy
Networking
Privacy-Preserving federated learning
Academic background
EducationComputer science
Alma materPolytechnic University of Milan
Academic work
DisciplineComputer science
Sub-disciplineSecurity
Privacy
InstitutionsEPFL (École Polytechnique Fédérale de Lausanne)
Main interestsSecurity
Privacy
Websitehttps://lds.epfl.ch

Jean-Pierre Hubaux is a Swiss-Belgian computer scientist specialised in security and privacy. He is a professor of computer science at EPFL (École Polytechnique Fédérale de Lausanne) and is the head of the Laboratory for Data Security at EPFL's School of Computer and Communication Sciences.[1]

Career

Born in Belgium, Hubaux grew up in Italy. He studied computer science and obtained his Laurea/Dr.-Eng degree in engineering at Polytechnic University of Milan. He then joined the French telecom company Alcatel, where he dedicated his work during the following 10 years primarily to switching systems, architecture, and software.[2]

He joined EPFL as an associate professor in 1990 and was made full professor in 1996. Since 1990, he has been the head of what is now known as the Laboratory for Data Security at EPFL's School of Computer and Communication sciences. In visiting positions, he worked at the Thomas J. Watson Research Center and at the University of California, Berkeley.[3]

Since 2017, Hubaux has been the founding academic director of the Center for Digital Trust (C4DT).[4] The C4DT addresses contemporary trust issues observed on the Internet. It promotes joint research projects, educational programs, and public events, and it comprises 35 EPFL affiliated laboratories[5] and a dozen of external partners.[6]

Hubaux is a co-founder of start-up Tune Insight.[7]

Research

Hubaux's research is currently dedicated to issues of data sharing and protection in personalized healthcare.[8][9] Formerly, he worked on privacy and security in mobile and pervasive networks,[10] and on inter-personal privacy problems.[11][12]

His work in data protection in personalized healthcare led to the development of a system able to train and perform inference with neural networks on decentralized data-sets while preserving the privacy of the data and protecting the model.[13] He is coordinating the development of a novel technique for the efficient bootstrapping in fully homomorphic encryption and in advancing this technique for practical implementation.[14] He has also led efforts to show that combining secure multi-party computation and homomorphic encryption makes partial results of federated learning anonymous in accordance to GDPR.[15] This research, was carried out in the framework of the MedCo[16] and Data Protection for Personalized Health projects.[17][18]

Previously, Hubaux's research was dedicated to the security and privacy of wireless networks. In the field of mobile ad hoc networks, he developed denial-of-service attacks to assess the impact caused by difficult-to-detect attacks.[19] Furthermore he conducted research in the security and privacy vulnerabilities of vehicular ad hoc networks,[20] in the quantification of location privacy in cellular networks,[21] in the application of game theory to wireless networks in order to anticipate network behavior in case wireless nodes depart from the prescribed protocol,[22] and in the robustness of sensor networks; he also showed how sensor nodes can evade jamming attacks by exploiting channel diversity.[23] Finally, he investigated inter-personal privacy issues caused by the online sharing of information such as photos of groups of people[24] or genomes.[25][26]

He was a member of the Scientific Advisory Board of Sophia Genetics (2012-2018) and a member of the Swiss Communication Commission (Commission des Communications; 2007-2019).[27][28] He is co-chair of the Data Security Work Stream of the Global Alliance for Genomics and Health.

An introduction to Hubaux's recent research is available in two public lectures on "MedCo: Enabling the Secure and Privacy-preserving Exploration and Analysis of Distributed Clinical and *Omics Cohorts" (2020),[29] and on "Secure Sharing of Health Data", presented as the keynote at the European Conference on Security and Privacy (2020).[30]

At some point, he contributed also to the development of the COVID-19 contact tracing app SwissCovid.[31][32][33][34]

Among others, the privacy-preserving still accountable ride-hailing service project ORide[35] received coverage in news outlets such as Wired,[36] International Business Times,[37] ans Engadget.[38]

Distinctions

Hubaux is an IEEE Fellow (2009) for contributions to wireless security,[39] and ACM Fellow (2010).[40]

In 2021, he received the Test of Time Award from the IEEE Symposium on Security and Privacy. [41][42] Together with his co-authors, he is the recipient of awards from the IEEE Symposium of Security and Privacy for the papers on "GenoGuard: Protecting Genomic Data against Brute-Force Attacks" (2015)[43] and for "On Enforcing the Digital Immunity of a Large Humanitarian Organization" (2018).[44] He was the recipient of the 2016 Reginald Fessenden Award from the ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems.[45]

Selected works

Book

  • Buttyán, Levente; Hubaux, Jean-Pierre (29 November 2007). Security and Cooperation in Wireless Networks: Thwarting Malicious and Selfish Behavior in the Age of Ubiquitous Computing. Cambridge University Press. ISBN 9780521873710.

Papers

References

  1. ↑ "LDS |". lds.epfl.ch. Retrieved 2021-04-19.
  2. ↑ "Jean-Pierre Hubaux". www.aminer.org. Retrieved 2021-04-19.
  3. ↑ "MobiHoc 2006 :: Keynote Speech". www.sigmobile.org. Retrieved 2021-04-19.
  4. ↑ "Team". C4DT. Retrieved 2021-04-19.
  5. ↑ "Laboratories". C4DT. Retrieved 2021-04-19.
  6. ↑ "Partners". C4DT. Retrieved 2021-04-19.
  7. ↑ "TuneInsight". tuneinsight.com. Retrieved 2021-05-17.
  8. ↑ "pdph | LDS". lds.epfl.ch. Retrieved 2021-04-19.
  9. ↑ Check Hayden, Erika (2015-03-26). "Extreme cryptography paves way to personalized medicine". Nature News. 519 (7544): 400–401. Bibcode:2015Natur.519..400C. doi:10.1038/519400a. PMID 25810184.
  10. ↑ "pmpn | LDS". lds.epfl.ch. Retrieved 2021-04-19.
  11. ↑ "interpersonal-privacy | LDS". lds.epfl.ch. Retrieved 2021-04-19.
  12. ↑ ""L'EPFL a un rôle majeur à jouer en cybersécurité"". Le Temps (in French). 2019-01-07. ISSN 1423-3967. Retrieved 2021-05-05.
  13. ↑ Sav, Sinem; Pyrgelis, Apostolos; Troncoso-Pastoriza, Juan Ramón; Froelicher, David; Bossuat, Jean-Philippe; Sousa, Joao Sa; Hubaux, Jean-Pierre (2021). "POSEIDON: Privacy-Preserving Federated Neural Network Learning". Proceedings 2021 Network and Distributed System Security Symposium. Reston, VA: Internet Society. doi:10.14722/ndss.2021.24119. ISBN 978-1-891562-66-2.
  14. ↑ Froelicher, David; Troncoso-Pastoriza, Juan R.; Raisaro, Jean Louis; Cuendet, Michel A.; Sousa, Joao Sa; Fellay, Jacques; Hubaux, Jean-Pierre (2021-02-25). "Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic Encryption". Nature Communications. 12 (1): 5910. Bibcode:2021NatCo..12.5910F. bioRxiv 10.1101/2021.02.24.432489. doi:10.1038/s41467-021-25972-y. PMC 8505638. PMID 34635645. S2CID 232081916. Retrieved 2021-04-19.
  15. ↑ Scheibner, James; Raisaro, Jean Louis; Troncoso-Pastoriza, Juan Ramón; Ienca, Marcello; Fellay, Jacques; Vayena, Effy; Hubaux, Jean-Pierre (2021-02-25). "Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis". Journal of Medical Internet Research. 23 (2): e25120. doi:10.2196/25120. ISSN 1438-8871. PMC 7952236. PMID 33629963.
  16. ↑ "MedCo | Collective protection of medical data". medco.epfl.ch. Retrieved 2021-04-19.
  17. ↑ "dpph | Data Protection In Personalized Health". dpph.ch. Retrieved 2021-04-19.
  18. ↑ "Un logiciel suisse analysera les données des hôpitaux, une aide précieuse contre le virus". Le Temps (in French). 2020-04-03. ISSN 1423-3967. Retrieved 2021-05-05.
  19. ↑ Aad, Imad; Hubaux, Jean-Pierre; Knightly, Edward W. (2004-09-26). "Denial of service resilience in ad hoc networks". Proceedings of the 10th annual international conference on Mobile computing and networking. MobiCom '04. Philadelphia, PA, USA: Association for Computing Machinery. pp. 202–215. doi:10.1145/1023720.1023741. ISBN 978-1-58113-868-9. S2CID 1796708.
  20. ↑ Raya, Maxim; Hubaux, Jean-Pierre (2007-01-01). Ning, Peng; Du, Wenliang (eds.). "Securing vehicular ad hoc networks". Journal of Computer Security. 15 (1): 39–68. doi:10.3233/JCS-2007-15103.
  21. ↑ Shokri, Reza; Theodorakopoulos, George; Le Boudec, Jean-Yves; Hubaux, Jean-Pierre (May 2011). "Quantifying Location Privacy". 2011 IEEE Symposium on Security and Privacy (PDF). Oakland, CA, USA: IEEE. pp. 247–262. doi:10.1109/SP.2011.18. ISBN 978-1-4577-0147-4. S2CID 5705385.
  22. ↑ Manshaei, Mohammad Hossein; Zhu, Quanyan; Alpcan, Tansu; Bacşar, Tamer; Hubaux, Jean-Pierre (2013-07-03). "Game theory meets network security and privacy". ACM Computing Surveys. 45 (3): 25:1–25:39. doi:10.1145/2480741.2480742. ISSN 0360-0300. S2CID 207203993.
  23. ↑ Cagalj, Mario; Capkun, Srdjan; Hubaux, Jean-pierre (January 2007). "Wormhole-Based Antijamming Techniques in Sensor Networks". IEEE Transactions on Mobile Computing. 6 (1): 100–114. doi:10.1109/TMC.2007.250674. ISSN 1536-1233.
  24. ↑ Olteanu, Alexandra-Mihaela; Huguenin, Kevin; Dacosta, Italo; Hubaux, Jean-Pierre (2018). "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data". Proceedings 2018 Network and Distributed System Security Symposium. Reston, VA: Internet Society. doi:10.14722/ndss.2018.23002. ISBN 978-1-891562-49-5.
  25. ↑ Humbert, Mathias; Ayday, Erman; Hubaux, Jean-Pierre; Telenti, Amalio (2017-02-06). "Quantifying Interdependent Risks in Genomic Privacy". ACM Transactions on Privacy and Security. 20 (1): 3:1–3:31. doi:10.1145/3035538. hdl:11693/49405. ISSN 2471-2566. S2CID 5574435.
  26. ↑ "Génome chiffré, génome protégé". Le Temps (in French). 2017-04-24. ISSN 1423-3967. Retrieved 2021-05-05.
  27. ↑ "Genomics leader Sophia Genetics paves way to Data Driven Medicine with $1 million new encryption initiative for privacy protection supported by the Swiss Commission for Technology and Innovation". www.sophiagenetics.com. Retrieved 2021-05-05.
  28. ↑ Carron, Cécilia (2013-04-19). "Securely Storing and Interpreting the Genome". {{cite journal}}: Cite journal requires |journal= (help)
  29. ↑ "MedCo - Enabling the Secure and Privacy-Preserving Exploration of Distributed Clinical and *Omics Cohorts in the Swiss Personalized Health Network". SPHN. Retrieved 2021-04-19.
  30. ↑ Jean Pierre Hubaux | Secure Sharing of Health Data | Keynote speech | IEEE Euro S&P 2020, retrieved 2021-04-19
  31. ↑ "Une application pour vaincre le coronavirus: interview de Jean-Pierre Hubaux - Radio". Play RTS (in French). 13 April 2020. Retrieved 2021-05-05.
  32. ↑ "Le débat - Coronavirus et données: quelle surveillance? - Radio". Play RTS (in French). 25 March 2020. Retrieved 2021-05-05.
  33. ↑ "Une application pour vaincre le coronavirus: interview de Jean-Pierre Hubaux - Radio". Play RTS (in French). Retrieved 2021-05-05.
  34. ↑ "Exposée au niveau mondial avec SwissCovid, l'EPFL est sous pression". Le Temps (in French). 2020-05-27. ISSN 1423-3967. Retrieved 2021-05-05.
  35. ↑ "ORide: A Privacy-Preserving yet Accountable Ride-Hailing Service". oride.epfl.ch. Retrieved 2021-05-18.
  36. ↑ "A Prototype for an Encrypted Uber That Can't Track You". Wired. ISSN 1059-1028. Retrieved 2021-05-18.
  37. ↑ Jain, Rishabh (2017-07-02). "Uber, Lyft Might Not Be Able To Track Users Post Ride As New Software Hides Travel Data". International Business Times. Retrieved 2021-05-18.
  38. ↑ "Scientists create ride-hailing tech that hides your travel data". Engadget. Retrieved 2021-05-18.
  39. ↑ "IEEE Fellows 2009 | IEEE Communications Society". www.comsoc.org. Retrieved 2021-04-19.
  40. ↑ "Jean-Pierre Hubaux". awards.acm.org. Retrieved 2021-04-19.
  41. ↑ "IEEE Symposium on Security and Privacy 2021". www.ieee-security.org. Retrieved 2021-06-04.
  42. ↑ Petersen, Tanya (2021-05-25). ""Our research on privacy and security was ahead of its time"". {{cite journal}}: Cite journal requires |journal= (help)
  43. ↑ "IEEE Symposium on Security and Privacy 2015". www.ieee-security.org. Retrieved 2021-04-19.
  44. ↑ "IEEE Symposium on Security and Privacy 2018". www.ieee-security.org. Retrieved 2021-04-19.
  45. ↑ "ACM MSWiM 2016 Fessenden Award". mswimconf.com. Retrieved 2021-06-04.
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