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Alberto Marchisio
Alberto Marchisio
Post-Doctoral Associate, New York University Abu Dhabi, UAE
Verifierad e-postadress på nyu.edu
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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
1772020
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
1672020
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
1082020
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
912019
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
462021
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
462020
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
46*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
402021
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
382020
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
372021
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
36*2023
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
322019
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
312018
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
292021
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
242018
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
21*2020
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
182020
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
182018
Red-cane: A systematic methodology for resilience analysis and design of capsule networks under approximations
A Marchisio, V Mrazek, MA Hanif, M Shafique
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
162020
Special session: Towards an agile design methodology for efficient, reliable, and secure ML systems
S Dave, A Marchisio, MA Hanif, A Guesmi, A Shrivastava, I Alouani, ...
2022 IEEE 40th VLSI Test Symposium (VTS), 1-14, 2022
142022
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