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Generating Semantic Adversarial Examples with Differentiable Rendering
Machine learning (ML) algorithms, especially deep neural networks, have ...
10/02/2019 ∙ by Lakshya Jain, et al. ∙
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On Need for Topology Awareness of Generative Models
Manifold assumption in learning states that: the data lie approximately ...
09/07/2019 ∙ by Uyeong Jang, et al. ∙
20
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On Need for Topology-Aware Generative Models for Manifold-Based Defenses
ML algorithms or models, especially deep neural networks (DNNs), have sh...
09/07/2019 ∙ by Uyeong Jang, et al. ∙
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The Manifold Assumption and Defenses Against Adversarial Perturbations
In the adversarial-perturbation problem of neural networks, an adversary...
11/21/2017 ∙ by Xi Wu, et al. ∙
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Manifold Assumption and Defenses Against Adversarial Perturbations
In the adversarial perturbation problem of neural networks, an adversary...
11/21/2017 ∙ by Xi Wu, et al. ∙
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