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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy


Mar 22, 2021
Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan


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RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery


Jan 20, 2021
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti


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DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning


Dec 02, 2020
Li Yang, Adnan Siraj Rakin, Deliang Fan


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MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning


Nov 28, 2020
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang


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Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA


Nov 05, 2020
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan


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A Progressive Sub-Network Searching Framework for Dynamic Inference


Sep 11, 2020
Li Yang, Zhezhi He, Yu Cao, Deliang Fan


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KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning


Sep 11, 2020
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan


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T-BFA: Targeted Bit-Flip Adversarial Weight Attack


Jul 24, 2020
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan


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DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips


Mar 30, 2020
Fan Yao, Adnan Siraj Rakin, Deliang Fan


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Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors


Nov 27, 2019
Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz

* 6 pages, ASPDAC'20 

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TBT: Targeted Neural Network Attack with Bit Trojan


Sep 10, 2019
Adnan Siraj Rakin, Zhezhi He, Deliang Fan


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Non-structured DNN Weight Pruning Considered Harmful


Jul 03, 2019
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma


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Defending Against Adversarial Attacks Using Random Forests


Jun 16, 2019
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong


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Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness


May 30, 2019
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan


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Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience


Apr 16, 2019
Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F DeMara

* 6 pages, 10 figures 

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Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search


Apr 07, 2019
Adnan Siraj Rakin, Zhezhi He, Deliang Fan


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Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack


Nov 22, 2018
Adnan Siraj Rakin, Zhezhi He, Deliang Fan


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Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation


Oct 02, 2018
Zhezhi He, Deliang Fan


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Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy


Jul 20, 2018
Zhezhi He, Boqing Gong, Deliang Fan


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Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions


Jul 18, 2018
Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan


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A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels


Mar 21, 2018
Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong

* IEEE Winter Conf. on Applications of Computer Vision 2018 

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Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples


Feb 07, 2018
Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan


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Developing All-Skyrmion Spiking Neural Network


May 08, 2017
Zhezhi He, Deliang Fan


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