Patrick Loiseau

Research Interests

My research interests revolve around game theory and statistical learning and their interactions, in particular in the context of security, privacy and ethics of online systems and algorithms. My main current interests are:

  • Ethics of algorithms: transparency, discrimination, fairness (in particular in advertising)
  • Security: adversarial learning, game theory for security, Blotto games
  • Privacy: personal data monetization, learning and privacy
  • Interactions between games and learning: adversarial bandits, learning in games, repeated games and sequential learning, using the solution of games to analyze/design learning algorithms
Much of my current research aims at studying the interplay between humans or strategic agents and learning algorithms (both how humans impact algorithms through the data they provide or generate and how algorithms impact humans and which consequences it has on algorithms design). I use game theory to model the system and its evolution in order to come up with better algorithms.

In the past, I also worked on causal methods and their applications to networking, cyberinsurance, scheduling and pricing of resources in clouds and smart grids, large deviations and applications to network traffic and to heart-rate modeling, long-range dependence and heavy-tails, and statistical estimation under sampling.



Students / Postdocs

Current:

Postdocs:
  • Simon Finster (Since Nov. 2022, co-advised with Bary Pradelski)
  • Felipe Garrido Lucero (Since Oct. 2022, co-advised with Vianney Perchet)
PhD students:
  • Mathieu Molina (Since Jan. 2022, co-advised with Vianney Perchet from ENSAE, CREST and Nicolas Gast from Inria Grenoble)
  • Remi Castera (Since Oct. 2021, co-advised with Bary Pradelski from CNRS, LIG)
  • Till Kletti (Since Feb. 2020, co-advised with Sihem Amer-Yahia from CNRS, LIG, Cifre PhD with Naver Labs, industrial advisor: Jean-Michel Renders)

Past:

Postdocs:
  • George Arvanitakis (Jan.-Oct. 2018, now researcher at Huawei Paris lab)
  • Michela Chessa (Sept. 2013–Aug. 2015, now assist. Prof at Université Côte d’Azur, GREDEG)
PhD students:
  • Vitalii Emelianov (Sept. 2018–June 2022, PhD Univ. Grenoble Alpes, co-advised with Nicolas Gast from Inria Grenoble)
  • Eleni Gkiouzepi (Dec. 2019-Nov. 2021, now PhD student at TUM)
  • Benjamin Roussillon (Oct. 2018-Sept. 2021, PhD Univ. Grenoble Alpes, co-advised with Panayotis Mertikopoulos from CNRS, LIG)
  • Dong Quan Vu (Jan. 2017-June 2020, PhD UPMC, Cifre PhD with Nokia Bell Labs, industrial advisor: Alonso Silva, now postdoc at LIG)
  • Athanasios Andreou (Oct. 2015-June 2019, PhD UPMC, co-advised with Oana Goga from CNRS, LIG, postdoc at LIG, now independent consultant)
  • Xiaohu Wu (Nov. 2012–Feb. 2016, PhD Telecom ParisTech, postdoc at Aalto University, now researcher at Fondazione Bruno Kessler)
  • Hadrien Hours (Nov. 2011–Sep. 2015, PhD Telecom ParisTech, co-advised with Ernst Biersack, postdoc at ENS Lyon, now data scientist at Booking.com)
  • Amine Lahouel (Sept. 2016-Nov. 2018, Cifre with SAP, industrial advisor: Michele Bezzi)
  • Alberto Benegiamo (Nov. 2013–Aug. 2015, co-advised with Giovanni Neglia from Inria, now Software and System Developer - Derivatives Markets at London Stock Exchange Group)
Interns:
  • Mathieu Molina (M2 student at Mines ParisTech/PSL, intern at LIG in May-Oct 2021)
  • Remi Castera (M2 student at Ecole Polytechnique/Univ. Paris Saclay, intern at LIG in April-Aug 2021)
  • Jeremy Guerin (M2 student at Univ. Paris Saclay, intern at LIG in April-Sept 2021, co-advised with Nicolas Gast)
  • Aurélien Gaufre (M2 student at Univ. Grenoble Alpes, intern at LIG in Feb-July 2021, co-advised with Nicolas Gast)
  • Krishna Virendra Acharya (M2 student at ENS Lyon, intern at LIG in Feb-July 2020, co-advised with Nicolas Gast)
  • Nicolas Rocher (M2 student at ENS Lyon, intern at LIG in April-July 2019 and Sept 2019-Jan 2020)
  • Chen Yan (M2 student at UPMC, intern at LIG in Feb-July 2019, co-advised with Nicolas Gast)
  • Etienne Vareille (L3 student at ENS Lyon, intern at LIG in June-July 2018, co-advised with Nicolas Gast)
  • Nicolas Charpenay (M1 student at ENS Paris Saclay, intern at LIG in April-Aug. 2018)
  • Eman Al-Shaour (M1 student at Univ. Grenoble Alpes, intern at LIG in March.-July 2018, co-advised with George Arvanitakis)
  • Benjamin Roussillon (M2 student at ENSIMAG, intern at LIG in Feb.-July 2018)
  • Vitalii Emelianov (M2 student at Univ. Grenoble Alpes, intern at LIG in Feb.-July 2018)
  • Sarath A. Y. (PhD student at IISC, intern at LIG in Feb.-July 2018)
  • George Arvanitakis (PhD student at EURECOM, intern at MPI-SWS in June-Dec. 2017, now postdoc at LIG)
  • Stéphane Pouget (L3 student at ENS Lyon, intern at MPI-SWS in June-July 2017)
  • Yannick Terme (Eng. EURECOM/Telecom ParisTech, intern at MPI-SWS in July-August 2016, now student at ENSAE)
  • Nina Grgić-Hlača (M.A. University of Zagreb, intern at EURECOM in Feb.-July 2016 with an ERASMUS+ grant, now PhD student at MPI-SWS)
  • Vijay Kamble (Ph.D. UC Berleley, intern at EURECOM in April-May 2015, postdoc at Stanford, now assistant Professor at UIC)
  • Athanasios Andreou (M.Sc. EURECOM, intern at MPI-SWS in Feb.-Sept. 2015, co-advised with Oana Goga and Krishna Gummadi, now Ph.D. student at EURECOM)
  • Yifan Pi (B.Sc. Tsinghua University, intern at EURECOM during summer 2013, now software engineer at Google)


Funding

My research is generously funded by ANR, DGA, Inria, IDEX UGA, Grenoble INP, Nokia Bell Labs, Naver Labs, and MIAI@Grenoble Alpes. In the past, I was fortunate to also receive funding from the France-Berkeley fund, Symantec, the Labex UCN@Sophia, SAP Research, Institut Mines Telecom, the Data Transparency lab and the Alexander von Humboldt foundation.



Software

AdAnalyst: A Chrome extension that provides aggregate statistics and various insights and visualizations about the ads a user receives on Facebook.