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ORCIDSiyue Wang
- > Home > Persons > Siyue Wang
Publications
- 2024
[i14]Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin:
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. CoRR abs/2401.16766 (2024)- 2022
- [c15]Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura:
Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. DATE 2022: 424-429 - 2021
- [c14]Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin:
Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. BMVC 2021: 46 - [c13]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI 2021: 575-582 - [c12]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [i11]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR abs/2105.07078 (2021) - [i10]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - 2020
- [c11]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. AAAI 2020: 6909-6916 - [c10]Peiyan Dong, Siyue Wang, Wei Niu
, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC 2020: 1-6 - [c9]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP 2020: 2902-2906 - [i9]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. CoRR abs/2002.07891 (2020) - [i8]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
Block Switching: A Stochastic Approach for Deep Learning Security. CoRR abs/2002.07920 (2020) - [i7]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. CoRR abs/2002.08439 (2020) - [i6]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - 2019
- [c8]Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin:
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI 2019: 5369-5376 - [c7]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. DAC 2019: 165 - [c6]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA 2019: 69-80 - [c3]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. IJCAI 2019: 6013-6019 - [i5]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. CoRR abs/1905.12032 (2019) - [i4]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR abs/1908.07116 (2019) - 2018
- [c2]Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin:
Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP 2018: 1144-1148 - [c1]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD 2018: 71:1-71:8 - [i3]Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin:
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. CoRR abs/1803.05391 (2018) - [i2]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR abs/1809.05165 (2018) - [i1]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR abs/1812.07106 (2018)
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last updated on 2024-08-10 01:25 CEST by the dblp team
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