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Alberto Marchisio
Alberto Marchisio
Research Team Lead @ eBRAIN Lab | Post-Doctoral Associate, New York University Abu Dhabi, UAE
Geverifieerd e-mailadres voor nyu.edu
Titel
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Jaar
Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead
M Capra, B Bussolino, A Marchisio, G Masera, M Martina, M Shafique
IEEE Access 8, 225134-225180, 2020
2302020
An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks
M Capra, B Bussolino, A Marchisio, M Shafique, G Masera, M Martina
Future Internet 12 (7), 113, 2020
2082020
An efficient spiking neural network for recognizing gestures with a dvs camera on the loihi neuromorphic processor
R Massa, A Marchisio, M Martina, M Shafique
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
1322020
Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges
A Marchisio, MA Hanif, F Khalid, G Plastiras, C Kyrkou, T Theocharides, ...
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 553-559, 2019
992019
Carsnn: An efficient spiking neural network for event-based autonomous cars on the loihi neuromorphic research processor
A Viale, A Marchisio, M Martina, G Masera, M Shafique
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
642021
NASCaps: A framework for neural architecture search to optimize the accuracy and hardware efficiency of convolutional capsule networks
A Marchisio, A Massa, V Mrazek, B Bussolino, M Martina, M Shafique
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
632020
Is spiking secure? a comparative study on the security vulnerabilities of spiking and deep neural networks
A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
51*2020
Securing deep spiking neural networks against adversarial attacks through inherent structural parameters
R El-Allami, A Marchisio, M Shafique, I Alouani
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 774-779, 2021
472021
Towards energy-efficient and secure edge AI: A cross-layer framework ICCAD special session paper
M Shafique, A Marchisio, RVW Putra, MA Hanif
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
462021
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks
A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique
Microprocessors and Microsystems 96, 104738, 2023
43*2023
Neuroattack: Undermining spiking neural networks security through externally triggered bit-flips
V Venceslai, A Marchisio, I Alouani, M Martina, M Shafique
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
402020
Capsacc: An efficient hardware accelerator for capsulenets with data reuse
A Marchisio, MA Hanif, M Shafique
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 964-967, 2019
392019
Dvs-attacks: Adversarial attacks on dynamic vision sensors for spiking neural networks
A Marchisio, G Pira, M Martina, G Masera, M Shafique
2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021
362021
X-DNNs: Systematic cross-layer approximations for energy-efficient deep neural networks
MA Hanif, A Marchisio, T Arif, R Hafiz, S Rehman, M Shafique
Journal of Low Power Electronics 14 (4), 520-534, 2018
322018
PruNet: Class-blind pruning method for deep neural networks
A Marchisio, MA Hanif, M Martina, M Shafique
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
272018
Q-capsnets: A specialized framework for quantizing capsule networks
A Marchisio, B Bussolino, A Colucci, M Martina, G Masera, M Shafique
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
252020
SwiftTron: An efficient hardware accelerator for quantized transformers
A Marchisio, D Dura, M Capra, M Martina, G Masera, M Shafique
2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023
232023
FasTrCaps: An integrated framework for fast yet accurate training of capsule networks
A Marchisio, B Bussolino, A Colucci, MA Hanif, M Martina, G Masera, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
22*2020
A survey on quantum machine learning: Current trends, challenges, opportunities, and the road ahead
K Zaman, A Marchisio, MA Hanif, M Shafique
arXiv preprint arXiv:2310.10315, 2023
212023
A methodology for automatic selection of activation functions to design hybrid deep neural networks
A Marchisio, MA Hanif, S Rehman, M Martina, M Shafique
arXiv preprint arXiv:1811.03980, 2018
202018
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