| 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 | 178 | 2020 |
| 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 | 167 | 2020 |
| 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 | 108 | 2020 |
| 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 | 92 | 2019 |
| 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 | 46 | 2021 |
| 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 | 46 | 2020 |
| 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 | 40 | 2021 |
| 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 | 38 | 2020 |
| 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 | 37 | 2021 |
| 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 | 32 | 2019 |
| 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 | 31 | 2018 |
| 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 | 29 | 2021 |
| 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 | 24 | 2018 |
| 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 | 18 | 2020 |
| 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 | 18 | 2018 |
| 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 | 16 | 2020 |
| 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 | 14 | 2022 |
Muhammad ShafiqueProfessor, ECE, New York University (AD-UAE, Tandon-USA), Director eBRAIN Lab在 nyu.edu 的电子邮件经过验证
