Siyue Wang

According to our database, Siyue Wang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Jiacen Xu, Jack W. Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, Zhou Li

CoRR, 2024

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning.

Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin

CoRR, 2024

2023

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage.

Ruyi Ding, Cheng Gongye, Siyue Wang, A. Adam Ding, Yunsi Fei

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.

Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

High-Robustness, Low-Transferability Fingerprinting of Neural Networks.

Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

CoRR, 2021

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.

Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks.

Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

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

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

CoRR, 2020

Block Switching: A Stochastic Approach for Deep Learning Security.

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

CoRR, 2020

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks.

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

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

Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Effective Classification of Local Climate Zones Based on Multi-Source Remote Sensing Data.

Hao Jing, Yingchao Feng, Wenkai Zhang, Yue Zhang, Siyue Wang, Kun Fu, Kaiqiang Chen

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Aerial Image and Map Synthesis Using Generative Adversarial Networks.

Jun Gu, Yue Zhang, Wenkai Zhang, Hongfeng Yu, Siyue Wang, Yaoling Wang, Lei Wang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

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

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

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

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

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Defensive dropout for hardening deep neural networks under adversarial attacks.

Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin

Proceedings of the International Conference on Computer-Aided Design, 2018

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation.

Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Aircraft Recognition Based on Landmark Detection in Remote Sensing Images.

An Zhao, Kun Fu, Siyue Wang, Jiawei Zuo, Yuhang Zhang, Yanfeng Hu, Hongqi Wang

IEEE Geosci. Remote. Sens. Lett., 2017