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2020 – today
- 2024
[c27]Nouhaila Innan
, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. IJCNN 2024: 1-9- [c26]Walid El Maouaki, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. QSW 2024: 175-181 - [i39]Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. CoRR abs/2402.09780 (2024) - [i38]Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. CoRR abs/2403.10861 (2024) - [i37]Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR abs/2404.02595 (2024) - [i36]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. CoRR abs/2404.03325 (2024) - [i35]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data. CoRR abs/2404.03493 (2024) - [i34]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR abs/2404.09331 (2024) - [i33]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems. CoRR abs/2407.05262 (2024) - [i32]Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
Quantum Clustering for Cybersecurity. CoRR abs/2408.02314 (2024) - [i31]Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique:
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. CoRR abs/2408.03088 (2024) - 2023
- [j10]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. 14(10): 537 (2023) - [j9]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96: 104738 (2023) - [j8]Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique:
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems 97: 104763 (2023) - [c25]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN 2023: 1-9 - [c24]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN 2023: 1-9 - [i30]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR abs/2304.03973 (2023) - [i29]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR abs/2304.03986 (2023) - [i28]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR abs/2308.05636 (2023) - [i27]Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR abs/2310.10315 (2023) - 2022
- [j7]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access 10: 108997-109007 (2022) - [j6]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access 10: 109043-109055 (2022) - [c23]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN 2022: 1-8 - [c22]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. IJCNN 2022: 1-9 - [c21]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS 2022: 79-86 - [c20]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. ISLPED 2022: 27:1-27:6 - [c19]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i26]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i25]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. CoRR abs/2205.13807 (2022) - [i24]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. CoRR abs/2206.10200 (2022) - [i23]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR abs/2208.00331 (2022) - [i22]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR abs/2208.02253 (2022) - [i21]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. CoRR abs/2210.05276 (2022) - [i20]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR abs/2210.06888 (2022) - 2021
- [j5]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1768-1781 (2021) - [j4]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 716-729 (2021) - [c18]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE 2021: 108-113 - [c17]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE 2021: 774-779 - [c16]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c15]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN 2021: 1-9 - [c14]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. IJCNN 2021: 1-10 - [c13]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS 2021: 6315-6321 - [i19]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. CoRR abs/2107.00401 (2021) - [i18]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. CoRR abs/2107.00415 (2021) - [i17]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. CoRR abs/2109.00533 (2021) - [i16]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR abs/2109.09829 (2021) - 2020
- [j3]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. IEEE Access 8: 225134-225180 (2020) - [j2]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina:
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. Future Internet 12(7): 113 (2020) - [c12]Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique:
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS 2020: 34-36 - [c11]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC 2020: 1-6 - [c10]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE 2020: 1205-1210 - [c9]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. ICCAD 2020: 114:1-114:9 - [c8]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN 2020: 1-8 - [c7]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN 2020: 1-8 - [c6]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. IJCNN 2020: 1-9 - [c5]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. IJCNN 2020: 1-8 - [i15]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR abs/2004.07116 (2020) - [i14]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. CoRR abs/2005.08041 (2020) - [i13]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. CoRR abs/2006.09985 (2020) - [i12]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. CoRR abs/2008.08476 (2020) - [i11]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR abs/2010.05754 (2020) - [i10]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR abs/2012.05270 (2020) - [i9]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. CoRR abs/2012.05321 (2020) - [i8]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. CoRR abs/2012.11233 (2020)
2010 – 2019
- 2019
- [c4]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE 2019: 964-967 - [c3]Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique:
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI 2019: 553-559 - [i7]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR abs/1901.09878 (2019) - [i6]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR abs/1902.01147 (2019) - [i5]Alberto Marchisio, Muhammad Shafique:
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. CoRR abs/1902.01151 (2019) - [i4]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR abs/1905.10142 (2019) - [i3]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR abs/1912.00700 (2019) - 2018
- [j1]Muhammad Abdullah Hanif, Alberto Marchisio, Tabasher Arif, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. J. Low Power Electron. 14(4): 520-534 (2018) - [c2]Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK 2018: 13-18 - [c1]Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN 2018: 1-8 - [i2]Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique:
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. CoRR abs/1811.03980 (2018) - [i1]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR abs/1811.08932 (2018)
Coauthor Index
[c27] [c26] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j10] [j9] [j8] [c25] [c24] [i30] [i29] [i28] [i27] [j7] [j6] [c23] [c22] [c21] [c20] [c19] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [j5] [j4] [c18] [c17] [c16] [c15] [c14] [c13] [i19] [i18] [i17] [i16] [j3] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c4] [c3] [i7] [i6] [i5] [i4] [i3] [j1] [c2] [c1] [i2] [i1]
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