Alberto Marchisio

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All published works

Action	Title	Year	Authors
+ PDF Chat	Quantum Neural Networks: A Comparative Analysis and Noise Robustness Evaluation	2025	Tasnim Ahmed Muhammad Kashif Alberto Marchisio Muhammad Shafique
+ PDF Chat	Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection	2024	Owais Ishtiaq Siddiqui Nouhaila Innan Alberto Marchisio Mohamed Bennai Muhammad Shafique
+ PDF Chat	Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices	2024	Alberto Marchisio Emman Sychiuco Muhammad Kashif Muhammad Shafique
+ PDF Chat	Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?	2024	Muhammad Kashif Alberto Marchisio Muhammad Shafique
+ PDF Chat	LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks	2024	Nouhaila Innan Alberto Marchisio М. Беннаи Muhammad Shafique
+ PDF Chat	FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks	2024	Nouhaila Innan Alberto Marchisio Muhammad Shafique
+ PDF Chat	Designing Robust Quantum Neural Networks: Exploring Expressibility, Entanglement, and Control Rotation Gate Selection for Enhanced Quantum Models	2024	Walid El Maouaki Alberto Marchisio Taoufik Said Muhammad Shafique М. Беннаи
+ PDF Chat	QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction	2024	Siddhant Dutta Nouhaila Innan Alberto Marchisio Sadok Ben Yahia Muhammad Shafique
+ PDF Chat	QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction	2024	Siddhant Dutta Nouhaila Innan Alberto Marchisio Sadok Ben Yahia Muhammad Shafique
+ PDF Chat	Quantum Clustering for Cybersecurity	2024	Walid El Maouaki Nouhaila Innan Alberto Marchisio Taoufik Said М. Беннаи Muhammad Shafique
+ PDF Chat	PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms	2024	Kamila Zaman Alberto Marchisio Muhammad Kashif Muhammad Shafique
+	SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents	2024	Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique
+ PDF Chat	FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems	2024	Iqra Bano Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique
+ PDF Chat	AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks	2024	Walid El Maouaki Alberto Marchisio Taoufik Said М. Беннаи Muhammad Shafique
+ PDF Chat	RobQuNNs: A Methodology for Robust Quanvolutional Neural Networks against Adversarial Attacks	2024	Walid El Maouaki Alberto Marchisio Taoufik Said Muhammad Shafique М. Беннаи
+ PDF Chat	SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents	2024	Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique
+ PDF Chat	Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack	2024	Rachmad Vidya Wicaksana Putra Alberto Marchisio Fakhreddine Zayer Jorge Dias Muhammad Shafique
+ PDF Chat	A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data	2024	Iqra Bano Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique
+ PDF Chat	QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection	2024	Nouhaila Innan Alberto Marchisio Muhammad Shafique М. Беннаи
+ PDF Chat	FedQNN: Federated Learning using Quantum Neural Networks	2024	Nouhaila Innan Muhammad Al-Zafar Khan Alberto Marchisio Muhammad Shafique М. Беннаи
+ PDF Chat	AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks	2024	Walid El Maouaki Alberto Marchisio Taoufik Said М. Беннаи Muhammad Shafique
+ PDF Chat	A Comparative Analysis of Hybrid-Quantum Classical Neural Networks	2024	Kamila Zaman Tasnim Ahmed Muhammad Abdullah Hanif Alberto Marchisio Muhammad Shafique
+ PDF Chat	Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks	2024	Kamila Zaman Tasnim Ahmed Muhammad Kashif Muhammad Abdullah Hanif Alberto Marchisio Muhammad Shafique
+ PDF Chat	TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems	2024	Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks	2023	Farzad Nikfam Raffaele Casaburi Alberto Marchisio Maurizio Martina Muhammad Shafique
+ PDF Chat	SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers	2023	Alberto Marchisio Davide Dura Maurizio Capra Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks	2023	Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Muhammad Shafique
+	SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers	2023	Alberto Marchisio Davide Dura Maurizio Capra Maurizio Martina Guido Masera Muhammad Shafique
+	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks	2023	Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Muhammad Shafique
+	A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks	2023	Farzad Nikfam Raffaele Casaburi Alberto Marchisio Maurizio Martina Muhammad Shafique
+	A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead	2023	Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique
+ PDF Chat	LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor	2022	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks	2022	Muhammad Abdullah Hanif Giuseppe Maria Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique
+ PDF Chat	fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems	2022	Alberto Marchisio Giovanni Caramia Maurizio Martina Muhammad Shafique
+ PDF Chat	Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations	2022	Alberto Marchisio Beatrice Bussolino Edoardo Salvati Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems	2022	Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique
+	fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems	2022	Alberto Marchisio Giovanni Caramia Maurizio Martina Muhammad Shafique
+	Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations	2022	Alberto Marchisio Beatrice Bussolino Edoardo Salvati Maurizio Martina Guido Masera Muhammad Shafique
+	CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks	2022	Muhammad Abdullah Hanif Giuseppe Maria Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique
+	LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor	2022	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+	RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks	2022	Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique
+ PDF Chat	AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient	2022	Farzad Nikfam Alberto Marchisio Maurizio Martina Muhammad Shafique
+ PDF Chat	RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks	2022	Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique
+ PDF Chat	Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper	2021	Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif
+ PDF Chat	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique
+	Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework.	2021	Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif
+ PDF Chat	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor	2021	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique
+	DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique
+	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor	2021	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences	2021	Alessio Colucci Dávid Juhász Martin Mosbeck Alberto Marchisio Semeen Rehman Manfred Kreutzer Gunther Nadbath Axel Jantsch Muhammad Shafique
+	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters	2021	Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani
+	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique
+	DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique
+	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor	2021	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique
+	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters	2020	Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani
+ PDF Chat	NASCaps	2020	Alberto Marchisio Andrea Massa Vojtěch Mrázek Beatrice Bussolino Maurizio Martina Muhammad Shafique
+ PDF Chat	DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware	2020	Alberto Marchisio Vojtěch Mrázek Muhammad Abdullah Hanif Muhammad Shafique
+ PDF Chat	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks	2020	Alberto Marchisio Beatrice Bussolino Alessio Colucci Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks	2020	Alberto Marchisio Beatrice Bussolino Alessio Colucci Muhammad Abdullah Hanif Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips	2020	Valerio Venceslai Alberto Marchisio Ihsen Alouani Maurizio Martina Muhammad Shafique
+ PDF Chat	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor	2020	Riccardo Massa Alberto Marchisio Maurizio Martina Muhammad Shafique
+ PDF Chat	Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks	2020	Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique
+	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor	2020	Riccardo Massa Alberto Marchisio Maurizio Martina Muhammad Shafique
+ PDF Chat	ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations	2020	Alberto Marchisio Vojtěch Mrázek Muhammad Abudllah Hanif Muhammad Shafique
+ PDF Chat	Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead	2020	Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique
+	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters	2020	Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani
+	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor	2020	Riccardo Massa Alberto Marchisio Maurizio Martina Muhammad Shafique
+	X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations.	2019	Alberto Marchisio Beatrice Bussolino Alessio Colucci Muhammad Abdullah Hanif Maurizio Martina Guido Masera Muhammad Shafique
+ PDF Chat	CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse	2019	Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique
+	SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?	2019	Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique
+	CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators	2019	Alberto Marchisio Muhammad Abdullah Hanif Mohammad Taghi Teimoori Muhammad Shafique
+	CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks	2019	Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique
+	A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks	2018	Alberto Marchisio Muhammad Abdullah Hanif Semeen Rehman Maurizio Martina Muhammad Shafique

Common Coauthors

Coauthor	Papers Together
Muhammad Shafique	74
Maurizio Martina	39
Guido Masera	21
Muhammad Abdullah Hanif	14
Beatrice Bussolino	9
М. Беннаи	8
Nouhaila Innan	8
Rachmad Vidya Wicaksana Putra	7
Alessio Colucci	6
Taoufik Said	5
Walid El Maouaki	5
Ihsen Alouani	5
Giacomo Pira	5
Vojtěch Mrázek	5
Muhammad Kashif	5
Kamila Zaman	4
Maurizio Capra	3
Farzad Nikfam	3
Alberto Viale	3
Muhammad Abdullah Hanif	3
Giorgio Nanfa	3
Andrea Massa	3
Rida El-Allami	3
Faiq Khalid	3
Iqra Bano	2
Alberto Viale	2
Sadok Ben Yahia	2
Giovanni Caramia	2
Giuseppe Maria Sarda	2
Semeen Rehman	2
Raffaele Casaburi	2
Davide Dura	2
Tasnim Ahmed	2
Edoardo Salvati	2
Riccardo Massa	2
Antonio De Marco	2
Siddhant Dutta	2
Dávid Juhász	1
Martin Mosbeck	1
Valerio Venceslai	1
Mohamed Bennai	1
Gunther Nadbath	1
Jorge Dias	1
Amira Guesmi	1
Manfred Kreutzer	1
Mohammad Taghi Teimoori	1
Riccardo Massa	1
Fakhreddine Zayer	1
Muhammad Al-Zafar Khan	1
Axel Jantsch	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead	2020	Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique	17
+ PDF Chat	An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor	2020	Riccardo Massa Alberto Marchisio Maurizio Martina Muhammad Shafique	14
+ PDF Chat	Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead	2020	Muhammad Shafique Mahum Naseer Theocharis Theocharides Christos Kyrkou Onur Cezmi Mutlu Lois Orosa Jungwook Choi	14
+ PDF Chat	Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks	2020	Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique	14
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	14
+	CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks	2019	Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	11
+ PDF Chat	FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks	2020	Rachmad Vidya Wicaksana Putra Muhammad Shafique	10
+ PDF Chat	CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor	2021	Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique	9
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	9
+ PDF Chat	ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations	2020	Alberto Marchisio Vojtěch Mrázek Muhammad Abudllah Hanif Muhammad Shafique	9
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	9
+ PDF Chat	NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips	2020	Valerio Venceslai Alberto Marchisio Ihsen Alouani Maurizio Martina Muhammad Shafique	9
+ PDF Chat	FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning	2019	Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Junaid Qadir Muhammad Shafique	9
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	8
+ PDF Chat	CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse	2019	Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique	8
+ PDF Chat	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks	2020	Alberto Marchisio Beatrice Bussolino Alessio Colucci Maurizio Martina Guido Masera Muhammad Shafique	8
+	SLAYER: Spike Layer Error Reassignment in Time	2018	Sumit Bam Shrestha Garrick Orchard	8
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	8
+	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters	2021	Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani	7
+ PDF Chat	Adversarial Training for Probabilistic Spiking Neural Networks	2018	Alireza Bagheri Osvaldo Simeone Bipin Rajendran	7
+ PDF Chat	Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper	2021	Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif	7
+ PDF Chat	Q-SpiNN: A Framework for Quantizing Spiking Neural Networks	2021	Rachmad Vidya Wicaksana Putra Muhammad Shafique	7
+ PDF Chat	ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining	2019	Vojtěch Mrázek Zdeněk Vašíček Lukáš Sekanina Muhammad Abdullah Hanif Muhammad Shafique	7
+ PDF Chat	SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM	2021	Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique	7
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	7
+ PDF Chat	Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems	2022	Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique	6
+ PDF Chat	NASCaps	2020	Alberto Marchisio Andrea Massa Vojtěch Mrázek Beatrice Bussolino Maurizio Martina Muhammad Shafique	6
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	6
+ PDF Chat	Adversarial Examples in the Physical World	2018	Alexey Kurakin Ian Goodfellow Samy Bengio	6
+ PDF Chat	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors	2021	Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique	6
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	6
+ PDF Chat	QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks	2019	Faiq Khalid Hassan Ali Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Muhammad Shafique	6
+ PDF Chat	A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks	2019	Saima Sharmin Priyadarshini Panda Syed Shakib Sarwar Chankyu Lee Wachirawit Ponghiran Kaushik Roy	6
+ PDF Chat	DeepCaps: Going Deeper With Capsule Networks	2019	Jathushan Rajasegaran Vinoj Jayasundara Sandaru Jayasekara Hirunima Jayasekara Suranga Seneviratne Ranga Rodrigo	6
+ PDF Chat	FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation	2020	Le-Ha Hoang Muhammad Abdullah Hanif Muhammad Shafique	6
+ PDF Chat	HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification	2018	Amos Sironi Manuele Brambilla Nicolas Bourdis Xavier Lagorce Ryad Benosman	5
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+ PDF Chat	SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments	2021	Rachmad Vidya Wicaksana Putra Muhammad Shafique	5
+ PDF Chat	Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations	2020	Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy	5
+	Closing the Accuracy Gap in an Event-Based Visual Recognition Task	2019	Bodo Rückauer Nicolas Känzig Shih‐Chii Liu Tobi Delbrück Yulia Sandamirskaya	5
+	A Survey of Neuromorphic Computing and Neural Networks in Hardware.	2017	Catherine D. Schuman Thomas E. Potok Robert M. Patton J.D. Birdwell Mark E. Dean Garrett S. Rose James S. Plank	5
+ PDF Chat	Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades	2015	Garrick Orchard Ajinkya Jayawant Gregory Cohen Nitish V. Thakor	5
+ PDF Chat	DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware	2020	Alberto Marchisio Vojtěch Mrázek Muhammad Abdullah Hanif Muhammad Shafique	5
+	Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient	2020	Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie	5
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	5
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	4
+ PDF Chat	Neural networks for safety-critical applications — Challenges, experiments and perspectives	2018	Chih-Hong Cheng Frederik Diehl Gereon Hinz Yassine Hamza Georg Nuehrenberg Markus Rickert Harald Rueß Michael Truong Le	4