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Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
We present Survival-OPT, a physical adversarial example algorithm in the...
02/17/2020 ∙ by Ryan Feng, et al. ∙
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AI-GAN: Attack-Inspired Generation of Adversarial Examples
Adversarial examples that can fool deep models are mainly crafted by add...
02/06/2020 ∙ by Tao Bai, et al. ∙
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Robust Attribution Regularization
An emerging problem in trustworthy machine learning is to train models t...
05/23/2019 ∙ by Jiefeng Chen, et al. ∙
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Improving Adversarial Robustness by Data-Specific Discretization
A recent line of research proposed (either implicitly or explicitly) gra...
05/20/2018 ∙ by Jiefeng Chen, et al. ∙
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ReabsNet: Detecting and Revising Adversarial Examples
Though deep neural network has hit a huge success in recent studies and ...
12/21/2017 ∙ by Jiefeng Chen, et al. ∙
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Jiefeng Chen
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University of Wisconsin-Madison
I am an Phd student at UW-Madison, co-advised by Yingyu Liang and Somesh Jha, working on trustworthy machine learning.
