Alberto Marchisio

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 72

Top Topics

Design Space Exploration

Special Session

Top Venues

Publications

Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR (2024)
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 (2024)
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 (2024)
Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. CoRR (2024)
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 (2024)
Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR (2024)
Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
FedQNN: Federated Learning using Quantum Neural Networks. CoRR (2024)
Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. 14 (10) (2023)
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 (2023)
Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN (2023)
Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR (2023)
Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR (2023)
Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR (2023)
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)
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 (2023)
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 (2023)
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 (2022)
Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR (2022)
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 (2022)
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)
Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR (2022)
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)
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 (2022)
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 (2022)
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 (2022)
Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS (2022)
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 (2022)
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 (2022)
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)
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)
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)
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 (2021)
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)
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) (2021)
Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. CoRR (2021)
Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE (2021)
Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR (2021)
Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN (2021)
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)
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) (2021)
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 (2021)
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)
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 (2020)
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) (2020)
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 (2020)
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)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR (2020)
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 (2020)
Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. CoRR (2020)
Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. CoRR (2020)
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 (2020)
Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. IJCNN (2020)
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)
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)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC (2020)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR (2020)
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)
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)
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 (2020)
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)
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR (2019)
Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE (2019)
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)
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 (2019)
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 (2019)
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 (2019)
Alberto Marchisio, Muhammad Shafique
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. CoRR (2019)
Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK (2018)
Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR (2018)
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 (2018)
Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN (2018)
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) (2018)