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Higher-Order Certification for Randomized Smoothing


Oct 13, 2020
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

* Accepted to NeurIPS2020(spotlight) 

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Rethinking Randomized Smoothing for Adversarial Robustness


Mar 02, 2020
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel

* Jeet Mohapatra and Ching-Yun Ko contributed equally 

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HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression


Feb 28, 2020
Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong

* 6 pages, 5 figures 

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Fastened CROWN: Tightened Neural Network Robustness Certificates


Dec 02, 2019
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

* Zhaoyang Lyu and Ching-Yun Ko contributed equally, accepted to AAAI 2020 

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MiSC: Mixed Strategies Crowdsourcing


May 17, 2019
Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong

* 8 pages, accepted to IJCAI 2019 

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POPQORN: Quantifying Robustness of Recurrent Neural Networks


May 17, 2019
Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin

* 10 pages, Ching-Yun Ko and Zhaoyang Lyu contributed equally, accepted to ICML 2019. Please see arXiv source codes for the appendix by clicking [Other formats] 

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Matrix Product Operator Restricted Boltzmann Machines


Nov 12, 2018
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong


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Deep Compression of Sum-Product Networks on Tensor Networks


Nov 09, 2018
Ching-Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong


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Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach


Jun 12, 2018
Ching-Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong

* 11 pages. Source code and supplemental materials are available via: https://github.com/IRENEKO/TTC 

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A Support Tensor Train Machine


Apr 17, 2018
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

* 7 pages 

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