Muhammad Shafique

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 390

Top Venues

Karlsruhe Institute of Technology (PHD)

Education History

Karlsruhe Institute of Technology

PHD

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)
Neha A S, Vivek Chaturvedi, Muhammad Shafique
FRNet: A Feature-Rich CNN Architecture to Defend Against Adversarial Attacks. IEEE Access 12 (2024)
Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. CoRR (2024)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. IOLTS (2024)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12 (2024)
Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. CoRR (2024)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. CoRR (2024)
Erik Ostrowski, Muhammad Shafique
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs. CoRR (2024)
Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. CoRR (2024)
Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. 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)
Shuaihang Yuan, Muhammad Shafique, Mohamed Riyadh Baghdadi, Farshad Khorrami, Anthony Tzes, Yi Fang
Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. ICARA (2024)
Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. CoRR (2024)
Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. IEEE Trans. Artif. Intell. 5 (7) (2024)
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. IOLTS (2024)
Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. 113 (5) (2024)
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. CoRR (2024)
Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR (2024)
Neha A S, Vivek Chaturvedi, Muhammad Shafique
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. CoRR (2024)
Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling. IEEE Access 12 (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)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. CoRR (2024)
Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR (2024)
Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR (2024)
Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR (2024)
Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR (2024)
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. IEEE Access 12 (2024)
Amin Kargar-Barzi, Ebrahim Farahmand, Nooshin Taheri-Chatrudi, Ali Mahani, Muhammad Shafique
An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. IEEE Access 12 (2024)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. IOLTS (2024)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. CoRR (2024)
T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique
Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. DATE (2024)
Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling. CoRR (2024)
Maha Nawaz, Abdul Basit, Muhammad Shafique
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. CoRR (2024)
Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
FedQNN: Federated Learning using Quantum Neural Networks. CoRR (2024)
Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique
A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems. CoRR (2024)
Muhammad Abdullah Hanif, Muhammad Shafique
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN (2023)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR (2023)
Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR (2023)
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. IOLTS (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11 (2023)
Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. 14 (10) (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR (2023)
Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR (2023)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN (2023)
Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. 14 (10) (2023)
Mahum Naseer, Muhammad Shafique
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. ICST (2023)
Erik Ostrowski, Muhammad Shafique
ISLE: A Framework for Image Level Semantic Segmentation Ensemble. ISVC (2) (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR (2023)
T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. IJCNN (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. CoRR (2023)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR (2023)
Amin Kargar-Barzi, Ebrahim Farahmand, Ali Mahani, Muhammad Shafique
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. CoRR (2023)
Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE (2023)
Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali
ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. RTAS (2023)
Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. 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. CoRR (2023)
Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. CoRR (2023)
Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari
Physical Backdoor Trigger Activation of Autonomous Vehicle Using Reachability Analysis. CDC (2023)
Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR (2023)
Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. IROS (2023)
Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR (2023)
Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR (2023)
Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access 11 (2023)
Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. IEEE Trans. Very Large Scale Integr. Syst. 31 (7) (2023)
Mahum Naseer, Osman Hasan, Muhammad Shafique
Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation. FoMLAS@CAV (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR (2023)
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. ISLPED (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR (2023)
Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR (2023)
Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR (2023)
Muhammad Shafique
Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. DAC (2023)
Roozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Mohsen Ansari, Bardia Safaei, Muhammad Shafique, Jörg Henkel, Alireza Ejlali
ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog Computing. IEEE Internet Things J. 10 (12) (2023)
Akshara Ravi, Vivek Chaturvedi, Muhammad Shafique
ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Sayandip De, Muhammad Shafique, Henk Corporaal
Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (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)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72 (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. IJCNN (2023)
Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. CoRR (2023)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR (2023)
Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) (2023)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR (2023)
Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR (2023)
Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. IEEE Trans. Emerg. Top. Comput. 11 (4) (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14 (12) (2023)
Mahum Naseer, Osman Hasan, Muhammad Shafique
QuanDA: GPU Accelerated Quantitative Deep Neural Network Analysis. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Erik Ostrowski, Muhammad Shafique
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels. CoRR (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. ICARA (2023)
Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR (2023)
Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani
AdvART: Adversarial Art for Camouflaged Object Detection Attacks. CoRR (2023)
Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Shafique