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Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks

Nov 22, 2020
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

* Presented in Third ArchEdge Workshop, Co-located with SEC'2020 

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Heterogeneous Federated Learning

Aug 15, 2020
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen


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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency

Aug 14, 2020
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

* Accepted in DATE'2020 (Best Paper Nomination) 

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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Nov 24, 2019
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen


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LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications

Oct 17, 2019
Zirui Xu, Fuxun Yu, Xiang Chen

* 6 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:1905.08790 

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

Aug 27, 2019
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang


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ADMM for Efficient Deep Learning with Global Convergence

Jun 07, 2019
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao

* accepted by KDD 2019 

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DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks

May 21, 2019
Zirui Xu, Fuxun Yu, Xiang Chen

* 6 pages, 8 figures 

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Interpreting and Evaluating Neural Network Robustness

May 10, 2019
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen

* Accepted in IJCAI'19 

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Progressive Weight Pruning of Deep Neural Networks using ADMM

Nov 04, 2018
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang


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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

Oct 12, 2018
Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen

* 15 pages, submitted to ICLR 2019 

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Interpretable Convolutional Filter Pruning

Oct 12, 2018
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen


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HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition

Sep 04, 2018
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

* 8 pages, 10 figures 

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ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction

Jun 12, 2018
Fuxun Yu, Qide Dong, Xiang Chen


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Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients

Jun 07, 2018
Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen

* 9 pages, 3 figures 

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How convolutional neural network see the world - A survey of convolutional neural network visualization methods

May 31, 2018
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

* 32 pages, 21 figures. Mathematical Foundations of Computing 

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