I study adversarial machine learning from a learning theory perspective. My supervisors James Worrell, Varun Kanade and Marta Kwiatkowska and I recently published our work on the sample and computational complexity of robust classification with a follow-up on the special case of non-monotone decision lists. I am particularly interested in identifying thresholds for robust learning, namely when can efficient robust learning be guaranteed.

Thesis

• Bisimulation Pseudometrics for Weighted Finite Automata (MSc thesis)
  P. Gourdeau
  McGill University Libraries, 2017.

Journal Publications

• On the hardness of robust classification
  P. Gourdeau, V. Kanade, M. Kwiatkowska, and J. Worrell
  In Journal of Machine Learning Research, 2021.
  Paper.
• Bisimulation metrics and norms for real-weighted automata
  B. Balle, P. Gourdeau, and P. Panangaden
  In Information and Computation , 2020.
  Paper.

Conference Publications

For the most up-to-date list, please see Google scholar.

• When are local queries useful for robust learning?
  P. Gourdeau, V. Kanade, M. Kwiatkowska, and J. Worrell
  In 36th Conference on Neural Information Processing Systems (NeurIPS), 2022.
  Paper. Slides.
• Sample complexity bounds for robustly learning decision lists against evasion attacks
  P. Gourdeau, V. Kanade, M. Kwiatkowska, and J. Worrell
  In International Joint Conference in Artifical Intelligence (IJCAI), 2022.
  Paper. Poster. Slides (long presentation).
• On the hardness of robust classification
  P. Gourdeau, V. Kanade, M. Kwiatkowska, and J. Worrell
  In 33rd Conference on Neural Information Processing Systems (NeurIPS), 2019.
  Paper. Poster. Spotlight Slides.
• Bisimulation metrics for weighted automata
  B. Balle, P. Gourdeau, and P. Panangaden
  In 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017), Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik , 2017.
  Paper. Slides.
• Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants
  P. Gourdeau, L. Kanbar, W. Shalish, G. Sant'Anna, R. Kearney, and D. Precup
  In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4427-4430, IEEE, 2015.
  Paper. Poster.