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Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks


Jul 12, 2020
Ali Mirzaeian, Mohammad Sabokrou, Mohammad Khalooei, Jana Kosecka, Houman Homayoun, Tinoosh Mohsening, Avesta Sasan

* paper need to be majorly revised 

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Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction


Jul 12, 2020
Ali Mirzaeian, Masoud Pourreza, Mohammad Sabokrou, Ashkan Vakil$, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan

* paper need to be majorly revised 

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Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks


Jan 16, 2020
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan

* 6 pages, Accepted and to appear in ISQED 2020 

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TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs


Oct 14, 2019
Ali Mirzaeian, Houman Homayoun, Avesta Sasan


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NESTA: Hamming Weight Compression-Based Neural Proc. Engine


Oct 01, 2019
Ali Mirzaeian, Houman Homayoun, Avesta Sasan


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Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design


Jul 29, 2019
Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad

* This paper has been accepted in The International Conference on Field-Programmable Logic and Applications 2019 (FPL'19) 

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