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...
Những tác giả chính: | Wicker, M, Kwiatkowska, M |
---|---|
Định dạng: | Conference item |
Ngôn ngữ: | English |
Được phát hành: |
IEEE
2020
|
Những quyển sách tương tự
-
Adversarial robustness certification for Bayesian neural networks
Bằng: Wicker, M, et al.
Được phát hành: (2024) -
Bayesian inference with certifiable adversarial robustness
Bằng: Wicker, M, et al.
Được phát hành: (2021) -
Adversarial robustness of Bayesian neural networks
Bằng: Wicker, M
Được phát hành: (2021) -
Adversarial robustness of deep reinforcement learning
Bằng: Qu, Xinghua
Được phát hành: (2022) -
Adversarial robustness guarantees for Gaussian processes
Bằng: Patane, A, et al.
Được phát hành: (2022)