Mamalet, Franck
- Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks
2021/04/11 by Béthune, Louis, Boissin, Thibaut, Serrurier, Mathieu +3 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Achieving robustness in classification using optimal transport with hinge regularization
2020/06/11 by Mathieu Serrurier, Serrurier, Mathieu, Franck Mamalet +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- White Paper Machine Learning in Certified Systems
2021/03/18 by Hervé Delseny, Christophe Gabreau, Delseny, Hervé +52 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Software Testing and Debugging Techniques #Anomaly Detection Techniques and Applications
- Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
2025/06/05 by Thomas Masséna, Massena, Thomas, Léo Andéol +11 · 2 citations
Computer Science · #Face and Expression Recognition #Neural Networks and Applications