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Shizhen Xu

2 accepted papers

2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection

CVPR 2021poster

Despite their appealing flexibility, deep neural networks (DNNs) are vulnerable against adversarial examples. Various adversarial defense strategies have been proposed to resolve this problem, but they typically demonstrate restricted practicability owing to unsurmountable compromise on universality…

Cited by 78PDFcodeScholar
2017

Structured Generative Adversarial Networks

NeurIPS 2017poster

We study the problem of conditional generative modeling based on designated semantics or structures. Existing models that build conditional generators either require massive labeled instances as supervision or are unable to accurately control the semantics of generated samples. We propose structured…