Les résultats scientifiques



61 documents

  • Stéphane Burel, Adrian Evans, Lorena Anghel. Improving DNN fault tolerance in semantic segmentation applications. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Oct 2022, Austin, United States. pp.1-6, ⟨10.1109/DFT56152.2022.9962354⟩. ⟨hal-03960998⟩
  • Juliette Mattioli, Agnes Delaborde, Souhaiel Khalfaoui, Freddy Lecue, Henri Sohier, et al.. Empowering the trustworthiness of ML-based critical systems through engineering activities. 2022. ⟨hal-03808323⟩
  • Eiji Kawasaki, Markus Holzmann. Data Subsampling for Bayesian Neural Networks. 2022. ⟨hal-04234512⟩
  • Rodolphe Gelin, Augustin Lemesle, Hatem Hajri. Rendre une IA robuste au bruit. ActuIA, 2022, pp24-25, volume 9. ⟨hal-04078652⟩
  • Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihaly Petreczky. Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. 2022. ⟨hal-03782520⟩
  • Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini. Robust Gas Demand Forecasting With Conformal Prediction. 11th Symposium on Conformal and Probabilistic Prediction with Applications, Aug 2022, Brighton, United Kingdom. ⟨hal-03805276⟩
  • Adrien Le Coz, Stéphane Herbin, Faouzi Adjed. Leveraging generative models to characterize the failure conditions of image classifiers. The IJCAI-ECAI-22 Workshop on Artificial Intelligence Safety (AISafety 2022), Jul 2022, Vienna, Austria. ⟨hal-03797490⟩
  • Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi. Benchmarking and deeper analysis of adversarial patch attack on object detectors. Workshop Artificial Intelligence Safety - AI Safety (IJCAI-ECAI conference), Jul 2022, Vienna, Austria. ⟨hal-03806714⟩
  • Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle. CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. AISafety, Jul 2022, Vienne, Austria. ⟨hal-03687211v2⟩
  • Pol Labarbarie, Hatem Hajri, Marc Arnaudon. Riemannian data-dependent randomized smoothing for neural networks certification. New Frontiers in Adversarial Machine Learning in theThirty-ninth International Conference on Machine Learning (ICML), Jul 2022, Baltimore (MA), United States. ⟨hal-04264005⟩