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AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks

Feb 19, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) 

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RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition

Feb 19, 2020
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao


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Block Switching: A Stochastic Approach for Deep Learning Security

Feb 18, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by AdvML19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD, Anchorage, Alaska, USA, August 5th, 2019, 5 pages 

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Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent

Feb 18, 2020
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin

* accepted by AAAI 2020 

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Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses

Aug 20, 2019
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin

* Published as Conference Paper @ IJCAI 2019 

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Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks

May 28, 2019
Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin

* Accepted by the 56th Design Automation Conference (DAC 2019) 

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E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs

Dec 12, 2018
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang

* In The 25th International Symposium on High-Performance Computer Architecture (HPCA 2019) 

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Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks

Sep 13, 2018
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David Kaeli, Peter Chin, Xue Lin

* Accepted as conference paper on ICCAD 2018 

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On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks

Jun 09, 2018
Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin

* 9 pages, 3 figures 

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