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Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead


Dec 21, 2020
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique

* Accepted for publication in IEEE Access 

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NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks


Aug 19, 2020
Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique

* To appear at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD '20), November 2-5, 2020, Virtual Event, USA 

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NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips


May 16, 2020
Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique

* Accepted for publication at the 2020 International Joint Conference on Neural Networks (IJCNN) 

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Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks


Apr 17, 2020
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique

* Accepted for publication at Design Automation Conference 2020 (DAC 2020) 

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X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations


May 24, 2019
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique


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SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?


Feb 04, 2019
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique


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CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks


Jan 28, 2019
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique


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