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Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness

Jun 05, 2021
Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang

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Probabilistic Robustness Analysis for DNNs based on PAC Learning

Jan 25, 2021
Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang

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Improving Neural Network Verification through Spurious Region Guided Refinement

Oct 15, 2020
Pengfei Yang, Renjue Li, Jianlin Li, Cheng-Chao Huang, Jingyi Wang, Jun Sun, Bai Xue, Lijun Zhang

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Asymptotically Optimal One- and Two-Sample Testing with Kernels

Aug 27, 2019
Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang

* Submitted to IEEE Transactions on Information Theory. Short conference version can be found at arXiv:1802.07581 

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Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification

Feb 26, 2019
Pengfei Yang, Jiangchao Liu, Jianlin Li, Liqian Chen, Xiaowei Huang

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Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit

May 26, 2018
Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen

* 12 pages 

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