Les résultats scientifiques
79 documents
- Rodolphe Gelin, Augustin Lemesle, Hatem Hajri. Rendre une IA robuste au bruit. ActuIA, 2022, pp24-25, volume 9. ⟨hal-04078652⟩
- Eiji Kawasaki, Markus Holzmann. Data Subsampling for Bayesian Neural Networks. 2022. ⟨hal-04234512⟩
- 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-03797490v2⟩
- 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⟩
- Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihaly Petreczky. Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. Workshop on Principles of Distribution Shift (PODS-ICML), Jul 2022, Baltimore, United States. ⟨hal-03782513⟩
- Juliette Mattioli, Bertrand Braunschweig, Loic Cantat, Rodolphe Gelin, Frédéric Jurie, et al.. Garantir la confiance des systèmes critiques à base d’apprentissage machine grâce à l’ingénierie. ActuIA, 2022, pp15-17, volume 8. ⟨hal-04078646⟩
Documents récupérés de l'archive ouverte HAL 
