HW/SW co-design and co-optimizations for deep learning. - Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (INTESA@ESWEEK, 2018)

PruNet: Class-Blind Pruning Method For Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2018)

A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Semeen Rehman; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2018)

X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. - Muhammad Abdullah Hanif; Alberto Marchisio; Tabasher Arif; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (J. Low Power Electron., 2018)

CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. - Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2019)

Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. - Alberto Marchisio; Muhammad Abdullah Hanif; Faiq Khalid; George Plastiras; Christos Kyrkou; Theocharis Theocharides; Muhammad Shafique 001 (ISVLSI, 2019)

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. - Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2019)

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CoRR, 2019)

A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. - Alessio Colucci; Alberto Marchisio; Beatrice Bussolino; Vojtech Mrazek; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CODES+ISSS, 2020)

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (DAC, 2020)

ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2020)

NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. - Alberto Marchisio; Andrea Massa; Vojtech Mrazek; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique 001 (ICCAD, 2020)

FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2020)

Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. - Riccardo Massa; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. - Valerio Venceslai; Alberto Marchisio; Ihsen Alouani; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. - Maurizio Capra; Beatrice Bussolino; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2020)

An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. - Maurizio Capra; Beatrice Bussolino; Alberto Marchisio; Muhammad Shafique 001; Guido Masera; Maurizio Martina (Future Internet, 2020)

MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. - Alessio Colucci; Dávid Juhász; Martin Mosbeck; Alberto Marchisio; Semeen Rehman; Manfred Kreutzer; Günther Nadbath; Axel Jantsch; Muhammad Shafique 001 (DATE, 2021)

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. - Rida El-Allami; Alberto Marchisio; Muhammad Shafique 001; Ihsen Alouani (DATE, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (ICCAD, 2021)

DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. - Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2021)

CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. - Alberto Viale; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2021)

R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. - Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IROS, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (CoRR, 2021)

DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. - Muhammad Abdullah Hanif; Giuseppe Maria Sarda; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2022)

fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. - Alberto Marchisio; Giovanni Caramia; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2022)

LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. - Alberto Viale; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IROS, 2022)

Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. - Alberto Marchisio; Beatrice Bussolino; Edoardo Salvati; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (ISLPED, 2022)

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. - Shail Dave; Alberto Marchisio; Muhammad Abdullah Hanif; Amira Guesmi; Aviral Shrivastava; Ihsen Alouani; Muhammad Shafique 001 (VTS, 2022)

RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. - Alberto Marchisio; Vojtech Mrazek; Andrea Massa; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2022)

AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. - Farzad Nikfam; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2022)

SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. - Alberto Marchisio; Davide Dura; Maurizio Capra; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2023)

RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. - Alberto Marchisio; Antonio De Marco; Alessio Colucci; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2023)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. - Kamila Zaman; Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. - Farzad Nikfam; Raffaele Casaburi; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (Inf., 2023)

SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. - Alberto Marchisio; Federico Teodonio; Antonello Rizzi; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Fakhreddine Zayer; Jorge Dias 001; Muhammad Shafique 001 (ICARCV, 2024)

FedQNN: Federated Learning using Quantum Neural Networks. - Nouhaila Innan; Muhammad Al-Zafar Khan; Alberto Marchisio; Muhammad Shafique 001; Mohamed Bennai (IJCNN, 2024)

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. - Siddhant Dutta; Nouhaila Innan; Alberto Marchisio; Sadok Ben Yahia; Muhammad Shafique 001 (QCE, 2024)

Quantum Clustering for Cybersecurity. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (QCE, 2024)

PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. - Kamila Zaman; Alberto Marchisio; Muhammad Kashif; Muhammad Shafique 001 (QCE, 2024)

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. - Walid El Maouaki; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (QSW, 2024)

TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. - Eugenio Ressa; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CoRR, 2024)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. - Nouhaila Innan; Alberto Marchisio; Muhammad Shafique 001; Mohamed Bennai (CoRR, 2024)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. - Nouhaila Innan; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2024)

LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. - Nouhaila Innan; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2024)

Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices. - Alberto Marchisio; Emman Sychiuco; Muhammad Kashif; Muhammad Shafique 001 (CoRR, 2024)

SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (Frontiers Robotics AI, 2024)

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. - Lotfi Abdelkrim Mecharbat; Alberto Marchisio; Muhammad Shafique 001; Mohammad M. Ghassemi; Tuka Alhanai (CoRR, 2025)

QFAL: Quantum Federated Adversarial Learning. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2025)

PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset. - Haider Asif; Abdul Basit; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. - Abdul Basit; Minghao Shao; Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. - Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. - Abdul Basit; Minghao Shao; Muhammad Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)