Hello, I am a researcher at Inria, Brittany, France (WIDE team). I am leading the scientific council of the Société Informatique de France, and I am the president of an association promoting free software for mail/hosting in Brittany.

“Maybe, not content to be alienated by observation, maybe does the object deceive us? Maybe it invented original answers, and not only the ones we ask for? May not be does it not want to be analyzed and observed at all and taking this for a challenge (which is true), does it respond with another challenge? […] the object analyzed today triumphs everywhere, by its object position, over the subject of analysis.” (Jean Baudrillard, Fatal Strategies.)

My current research activity is trying to disprove that quote, by studying black-box algorithms (or links to papers) in the context of recommender systems, neural-network models, or decision-making algorithms in general. In other words, I am interested in the audit/understanding of algorithms from the user-side (FR). I co-organize the WAAA workshop on algorithmic audits of algorithms, in an attempt to link several research domains on this societal question. e.g.:

Selected publications

  • Setting the Record Straighter on Shadow Banning, Erwan Le Merrer, Benoît Morgan, Gilles Trédan. In INFOCOM, 2021. PDF
  • Remote Explainability faces the bouncer problem, Erwan Le Merrer, Gilles Trédan. In Nature Machine Intelligence, 2020. PDF
  • Adversarial Frontier Stitching for Remote Neural Network Watermarking, Erwan Le Merrer, Patrick Perez, Gilles Trédan. In Neural Comput & Applic 32, 9233–9244, 2020. PDF
  • Second order centrality: Distributed assessment of nodes criticity in complex networks, AM Kermarrec, E Le Merrer, B Sericola, G Trédan. Computer Communications 34 (5), 619-628, 2011.

Last PCs

  • KDD’24: 30TH ACM SIGKDD conference on knowledge discovery and data mining
  • ECML/PKDD’24: European Conference on Machine Learning and Data Mining
  • SDM’24: SIAM International Conference on Data Mining
  • KDD’23: 29TH ACM SIGKDD conference on knowledge discovery and data mining