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Fast Training of Provably Robust Neural Networks by SingleProp


Feb 01, 2021
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

* Published at AAAI 2021 

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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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Robust Deep Reinforcement Learning through Adversarial Loss


Aug 05, 2020
Tuomas Oikarinen, Tsui-Wei Weng, Luca Daniel


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Proper Network Interpretability Helps Adversarial Robustness in Classification


Jun 26, 2020
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel

* 22 pages, 9 figures, Published at ICML 2020 

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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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Towards Verifying Robustness of Neural Networks Against Semantic Perturbations


Dec 19, 2019
Jeet Mohapatra, Tsui-Wei, Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel


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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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Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation


Aug 18, 2019
Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel


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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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PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach


Jan 07, 2019
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan Oseledets, Luca Daniel

* updated ref [25] 

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CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks


Nov 29, 2018
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

* Accepted by AAAI 2019 

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Efficient Neural Network Robustness Certification with General Activation Functions


Nov 02, 2018
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel

* Accepted by NIPS 2018. Huan Zhang and Tsui-Wei Weng contributed equally 

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On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm


Oct 19, 2018
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurelie Lozano, Cho-Jui Hsieh, Luca Daniel

* Accepted by GlobalSIP 2018. Tsui-Wei Weng and Huan Zhang contributed equally 

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Towards Fast Computation of Certified Robustness for ReLU Networks


Oct 02, 2018
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane Boning, Inderjit S. Dhillon, Luca Daniel

* Tsui-Wei Weng and Huan Zhang contributed equally 

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Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach


Jan 31, 2018
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel

* Accepted by Sixth International Conference on Learning Representations (ICLR 2018). Tsui-Wei Weng and Huan Zhang contributed equally 

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