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Xinyun Chen

University of California, Berkeley

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Publication

Featured researches published by Xinyun Chen.

international conference on learning representations | 2017

Delving into Transferable Adversarial Examples and Black-box Attacks

Yanpei Liu; Xinyun Chen; Chang Liu; Dawn Song

arXiv: Learning | 2017

Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong.

Warren He; James Wei; Xinyun Chen; Nicholas Carlini; Dawn Song

neural information processing systems | 2016

Latent Attention For If-Then Program Synthesis

Chang Liu; Xinyun Chen; Eui Chul Richard Shin; Mingcheng Chen; Dawn Song

computer vision and pattern recognition | 2018

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Xiaojun Xu; Xinyun Chen; Chang Liu; Anna Rohrbach; Trevor Darrell; Dawn Song

international conference on learning representations | 2018

Towards Synthesizing Complex Programs From Input-Output Examples

Xinyun Chen; Chang Liu; Dawn Song

arXiv: Cryptography and Security | 2017

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Xinyun Chen; Chang Liu; Bo Li; Kimberly Lu; Dawn Song

Archive | 2016

An End-to-End Approach for Natural Language to IFTTT Program Translation

Chang Liu; Dawn Song; Eui Chul Richard Shin; Mingcheng Chen; Xinyun Chen

neural information processing systems | 2018

Tree-to-tree Neural Networks for Program Translation

Xinyun Chen; Chang Liu; Dawn Song

arXiv: Learning | 2017

Learning Neural Programs To Parse Programs.

Xinyun Chen; Chang Liu; Dawn Song

Archive | 2017

Can you fool AI with adversarial examples on a visual Turing test

Xiaojun Xu; Xinyun Chen; Chang Liu; Anna Rohrbach; Trevor Darell; Dawn Song

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Collaboration

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Dawn Song

University of California

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Chang Liu

University of California

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Eui Chul Richard Shin

University of California

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Xiaojun Xu

Shanghai Jiao Tong University

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Anna Rohrbach

Max Planck Society

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Bo Li

University of California

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Nicholas Carlini

University of California

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Trevor Darrell

University of California

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Warren He

University of California

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