Alberto Marchisio

102 papers A* 2A 9B 15C 5Misc 5Journal 62Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? DAC Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
2025	J	`jnl`	FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm. CoRR Muhammad Kashif, Shaf Khalid, Alberto Marchisio, Nouhaila Innan, Muhammad Shafique
2025	J	`jnl`	MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. CoRR Lotfi Abdelkrim Mecharbat, Alberto Marchisio, Muhammad Shafique, Mohammad M. Ghassemi, Tuka Alhanai
2025	C	`conf`	Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. IOLTS Alberto Marchisio, Muhammad Shafique
2025	J	`jnl`	Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. CoRR Alberto Marchisio, Muhammad Shafique
2025	C	`conf`	Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. IOLTS Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique
2025	B	`conf`	Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks. IJCNN Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique
2025	J	`jnl`	PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. CoRR Abdul Basit, Minghao Shao, Muhammad Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
2025	J	`jnl`	PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset. CoRR Haider Asif, Abdul Basit, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
2025	J	`jnl`	QFAL: Quantum Federated Adversarial Learning. CoRR Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
2025	—	`conf`	QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. QSW Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique
2025	J	`jnl`	QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. CoRR Abdul Basit, Minghao Shao, Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
2025	B	`conf`	Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. IJCNN Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique
2025	J	`jnl`	RobQFL: Robust Quantum Federated Learning in Adversarial Environment. CoRR Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Muhammad Shafique, Mohamed Bennai
2025	B	`conf`	TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. IJCNN Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2025	J	`jnl`	TransInferSim: Toward Fast and Accurate Evaluation of Embedded Hardware Accelerators for Transformer Networks. IEEE Access Jan Klhufek, Alberto Marchisio, Vojtech Mrazek, Lukás Sekanina, Muhammad Shafique
2024	C	`conf`	A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. ICARCV Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	J	`jnl`	A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data. CoRR Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	—	`conf`	AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. QSW Walid El Maouaki, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
2024	J	`jnl`	Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices. CoRR Alberto Marchisio, Emman Sychiuco, Muhammad Kashif, Muhammad Shafique
2024	C	`conf`	Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. ICARCV Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique
2024	J	`jnl`	Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. CoRR Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique
2024	J	`jnl`	FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. CoRR Nouhaila Innan, Alberto Marchisio, Muhammad Shafique
2024	C	`conf`	FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. ICARCV Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	J	`jnl`	FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems. CoRR Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	B	`conf`	FedQNN: Federated Learning using Quantum Neural Networks. IJCNN Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
2024	J	`jnl`	FedQNN: Federated Learning using Quantum Neural Networks. CoRR Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
2024	J	`jnl`	LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. CoRR Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique
2024	Misc	`conf`	PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. QCE Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique
2024	Misc	`conf`	QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. QCE Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique
2024	J	`jnl`	QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. CoRR Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique
2024	J	`jnl`	QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
2024	Misc	`conf`	Quantum Clustering for Cybersecurity. QCE Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
2024	J	`jnl`	Quantum Clustering for Cybersecurity. CoRR Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
2024	J	`jnl`	SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	J	`jnl`	SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents. Frontiers Robotics AI Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024	J	`jnl`	TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. CoRR Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2023	J	`jnl`	A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2023	J	`jnl`	A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2023	J	`jnl`	A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique
2023	B	`conf`	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique
2023	J	`jnl`	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique
2023	J	`jnl`	SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
2023	B	`conf`	SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique
2023	J	`jnl`	SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique
2022	J	`jnl`	AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2022	J	`jnl`	AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2022	B	`conf`	CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
2022	J	`jnl`	CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
2022	A	`conf`	Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. ISLPED Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique
2022	J	`jnl`	Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. CoRR Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique
2022	A	`conf`	LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2022	J	`jnl`	LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2022	J	`jnl`	RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
2022	J	`jnl`	RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. CoRR Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
2022	Misc	`conf`	Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
2022	J	`jnl`	Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
2022	B	`conf`	fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. IJCNN Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique
2022	J	`jnl`	fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. CoRR Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique
2021	B	`conf`	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. IJCNN Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	J	`jnl`	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. CoRR Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	J	`jnl`	DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2021	B	`conf`	DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	J	`jnl`	DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. CoRR Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	J	`jnl`	FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2021	A	`conf`	MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique
2021	A	`conf`	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	J	`jnl`	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. CoRR Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
2021	A	`conf`	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani
2021	A	`conf`	Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif
2021	J	`jnl`	Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif
2020	Misc	`conf`	A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	B	`conf`	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. IJCNN Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. CoRR Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. Future Internet Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina
2020	J	`jnl`	DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2020	B	`conf`	FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	J	`jnl`	Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. IEEE Access Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. CoRR Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
2020	B	`conf`	Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique
2020	A	`conf`	NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. ICCAD Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. CoRR Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
2020	B	`conf`	NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. IJCNN Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique
2020	J	`jnl`	NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. CoRR Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique
2020	A*	`conf`	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	J	`jnl`	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	A	`conf`	ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2020	J	`jnl`	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. CoRR Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani
2019	J	`jnl`	CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. CoRR Alberto Marchisio, Muhammad Shafique
2019	A	`conf`	CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
2019	J	`jnl`	CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
2019	—	`conf`	Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique
2019	J	`jnl`	ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2019	J	`jnl`	SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
2019	J	`jnl`	X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique
2018	J	`jnl`	A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. CoRR Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique
2018	J	`jnl`	CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
2018	—	`conf`	HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2018	B	`conf`	PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
2018	J	`jnl`	X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. J. Low Power Electron. Muhammad Abdullah Hanif, Alberto Marchisio, Tabasher Arif, Rehan Hafiz, Semeen Rehman, Muhammad Shafique