Robustness of 3D deep learning in an adversarial setting
Understanding the spatial arrangement and nature of real-world objects is of paramount importance to many complex engineering tasks, including autonomous navigation. Deep learning has revolutionized state-of-the-art performance for tasks in 3D environments; however, relatively little is known about...
Κύριοι συγγραφείς: | Wicker, M, Kwiatkowska, M |
---|---|
Μορφή: | Conference item |
Γλώσσα: | English |
Έκδοση: |
IEEE
2020
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Adversarial robustness certification for Bayesian neural networks
ανά: Wicker, M, κ.ά.
Έκδοση: (2024) -
Bayesian inference with certifiable adversarial robustness
ανά: Wicker, M, κ.ά.
Έκδοση: (2021) -
Adversarial robustness of Bayesian neural networks
ανά: Wicker, M
Έκδοση: (2021) -
Adversarial robustness of deep reinforcement learning
ανά: Qu, Xinghua
Έκδοση: (2022) -
Adversarial robustness guarantees for Gaussian processes
ανά: Patane, A, κ.ά.
Έκδοση: (2022)