Uyeong Jang

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University of Wisconsin-Madison

Featured Co-authors

Somesh Jha
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Susmit Jha
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Varun Chandrasekaran
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Lingjiao Chen
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Xi Wu
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Steven Chen
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Sanjit Seshia
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Lakshya Jain
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∙ 10/02/2019

Generating Semantic Adversarial Examples with Differentiable Rendering

Machine learning (ML) algorithms, especially deep neural networks, have ...

Lakshya Jain, et al. ∙

∙ 09/07/2019

On Need for Topology Awareness of Generative Models

Manifold assumption in learning states that: the data lie approximately ...

Uyeong Jang, et al. ∙

∙ 09/07/2019

On Need for Topology-Aware Generative Models for Manifold-Based Defenses

ML algorithms or models, especially deep neural networks (DNNs), have sh...

Uyeong Jang, et al. ∙

∙ 11/21/2017

The Manifold Assumption and Defenses Against Adversarial Perturbations

In the adversarial-perturbation problem of neural networks, an adversary...

Xi Wu, et al. ∙

∙ 11/21/2017

Manifold Assumption and Defenses Against Adversarial Perturbations

In the adversarial perturbation problem of neural networks, an adversary...

Xi Wu, et al. ∙