Understanding the Intrinsic Robustness of Image Distributions using
Conditional Generative Models

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models

1 March 2020

Quanquan Gu

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Papers citing "Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models"

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Title
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 101 21 0 15 Sep 2022
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 103 4 0 21 Jul 2021
$Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces$ Improved Estimation of Concentration Under $\ell_p$ -Norm Distance Metrics Using Half Spaces Jack Prescott Xiao Zhang David Evans 36 5 0 24 Mar 2021
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 107 95 0 03 Oct 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 75 51 0 16 Jul 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 139 26 0 05 Mar 2020