Use of in-situ laser-ultrasonics measurements to develop robust models combining deformation, recovery, recrystallization and grain growth
Sign Up to like & getrecommendations! Published in 2020 at "Materialia"
DOI: 10.1016/j.mtla.2020.100812
Abstract: Abstract The hot deformation and subsequent annealing of two C-Mn steels have been investigated using a Gleeble 3500 simulator. The flow stress during deformation and subsequent relaxation stress were recorded. The grain size evolution was… read more here.
Keywords: recrystallization; robust models; deformation; grain ... See more keywords
Training Provably Robust Models by Polyhedral Envelope Regularization.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3111892
Abstract: Training certifiable neural networks enables us to obtain models with robustness guarantees against adversarial attacks. In this work, we introduce a framework to obtain a provable adversarial-free region in the neighborhood of the input data… read more here.
Keywords: polyhedral envelope; robust models; training provably; envelope regularization ... See more keywords