Exact spectral norm regularization for neural networks
Preprint, 2022
spectral norm. We showcase that our algorithm achieves an improved generalization performance compared to previous spectral regularization techniques while simultaneously maintaining a strong safeguard against natural and adversarial
noise. Moreover, we further explore some previous reasoning concerning the strong adversarial protection that Jacobian regularization provides and show that it can be misleading.
Författare
Anton Johansson
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
Niklas Engsner
Chalmers, Data- och informationsteknik, Data Science
Claes Strannegård
Chalmers, Data- och informationsteknik, Data Science och AI
Petter Mostad
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
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Annan matematik