Muhammad Abdullah Hanif

155 papers A* 12A 19B 12C 8Misc 3Journal 89Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices. CoRR Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2026	J	`jnl`	scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation. IEEE Access Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani, Behnam Ghavami, Hassan Ghasemzadeh, Muhammad Abdullah Hanif, Muhammad Shafique
2025	—	`conf`	Adversarial and Backdoor Threats in Autonomous-Vehicle and Embodied-AI Systems. SOCC Muhammad Shafique, Muhammad Abdullah Hanif, Amira Guesmi, Nandish Chattopadhyay, Bassem Ouni
2025	J	`jnl`	Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. ACM Comput. Surv. Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammed Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025	J	`jnl`	Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. ACM Comput. Surv. Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025	B	`conf`	CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation. IJCNN Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique
2025	A*	`conf`	ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. DAC Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif, Muhammad Shafique
2025	J	`jnl`	ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. CoRR Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif, Muhammad Shafique
2025	B	`conf`	ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. IJCNN Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2025	J	`jnl`	ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. CoRR Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2025	J	`jnl`	Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects. IEEE Access Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique
2024	—	`conf`	Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models. BHI Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique
2024	—	`ch.`	An Off-Chip Memory Access Optimization for Embedded Deep Learning Systems. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2024	B	`conf`	CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. IJCNN Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique
2024	A*	`conf`	DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CVPR Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
2024	A	`conf`	DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. IROS Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. CoRR Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	DREAMx: A Data-Driven Error Estimation Methodology for Adders Composed of Cascaded Approximate Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Muhammad Abdullah Hanif, Ayoub Arous, Muhammad Shafique
2024	A*	`conf`	Defending against Adversarial Patches using Dimensionality Reduction. DAC Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2024	J	`jnl`	Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings. CoRR Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
2024	—	`ch.`	Massively Parallel Neural Processing Array (MPNA): A CNN Accelerator for Embedded Systems. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2024	C	`conf`	RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. ICARCV Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2024	C	`conf`	SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. ICARCV Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique
2024	J	`jnl`	SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms. CoRR Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique
2024	A	`conf`	SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. IROS Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique
2024	J	`jnl`	SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique
2024	—	`ch.`	SoC-GANs: Energy-Efficient Memory Management for System-on-Chip Generative Adversarial Networks. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures Rehan Ahmed, Muhammad Zuhaib Akbar, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
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`	APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
2023	J	`jnl`	AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023	J	`jnl`	Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023	—	`conf`	Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
2023	J	`jnl`	DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
2023	J	`jnl`	DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2023	J	`jnl`	Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2023	—	`conf`	Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CLAI Unconf Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
2023	B	`conf`	Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
2023	J	`jnl`	Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
2023	B	`conf`	FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2023	J	`jnl`	Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique
2023	J	`jnl`	Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2023	J	`jnl`	PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2023	A	`conf`	Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, 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	J	`jnl`	eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR Muhammad Abdullah Hanif, Muhammad Shafique
2023	J	`jnl`	scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique
2022	J	`jnl`	A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems Muhammad Abdullah Hanif, 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	J	`jnl`	Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
2022	J	`jnl`	GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
2022	J	`jnl`	SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2022	A*	`conf`	SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, 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
2021	J	`jnl`	A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique
2021	Misc	`conf`	Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique
2021	J	`jnl`	Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, 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	A	`conf`	DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE Muhammad Abdullah Hanif, Muhammad Shafique
2021	J	`jnl`	DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR Muhammad Abdullah Hanif, Muhammad Shafique
2021	B	`conf`	Emerging Computing Devices: Challenges and Opportunities for Test and Reliability ETS Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels
2021	J	`jnl`	Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR Faiq Khalid, Muhammad Abdullah Hanif, 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`	GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
2021	J	`jnl`	High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
2021	J	`jnl`	ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2021	A	`conf`	ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2021	J	`jnl`	ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2021	A*	`conf`	SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2021	J	`jnl`	SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2021	C	`conf`	TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
2021	J	`jnl`	TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access Dilshad Sabir, Muhammad Abdullah Hanif, Ali Hassan, Saad Rehman, Muhammad Shafique
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
2021	A	`conf`	UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2021	J	`jnl`	UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2020	J	`jnl`	APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi
2020	C	`conf`	Cross-layer approaches for improving the dependability of deep learning systems. SCOPES Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique
2020	J	`jnl`	DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
2020	A*	`conf`	DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2020	J	`jnl`	DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2020	C	`conf`	Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. IOLTS Muhammad Abdullah Hanif, Muhammad Shafique
2020	A	`conf`	FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
2020	A	`conf`	FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. DATE Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
2020	B	`conf`	FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, 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`	GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
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`	PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. ACM J. Emerg. Technol. Comput. Syst. Muhammad Kamran Ayub, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
2020	A*	`conf`	PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. DAC Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, 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`	Resistive Crossbar-Aware Neural Network Design and Optimization. IEEE Access Muhammad Abdullah Hanif, Aditya Manglik, Muhammad Shafique
2020	J	`jnl`	SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. IEEE Des. Test Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman
2020	J	`jnl`	SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hazoor Ahmad, Tabasher Arif, Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
2019	A	`conf`	ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. ICCAD Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
2019	J	`jnl`	ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. CoRR Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
2019	A*	`conf`	Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg
2019	A*	`conf`	CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC Muhammad Abdullah Hanif, Faiq Khalid, 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	—	`ch.`	Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. Approximate Circuits Muhammad Abdullah Hanif, Rehan Hafiz, 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`	FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
2019	A	`conf`	FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique
2019	J	`jnl`	FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. CoRR Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
2019	—	`ch.`	Hardware-Software Approximations for Deep Neural Networks. Approximate Circuits Muhammad Abdullah Hanif, Muhammad Usama Javed, Rehan Hafiz, Semeen Rehman, Muhammad Shafique
2019	J	`jnl`	MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. IEEE Access G. A. Gillani, Muhammad Abdullah Hanif, B. Verstoep, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler
2019	A	`conf`	MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. ISLPED Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch, Muhammad Shafique
2019	C	`conf`	QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
2019	J	`jnl`	RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
2019	J	`jnl`	ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. CoRR Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, 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	C	`conf`	TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, 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
2019	A*	`conf`	autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. DAC Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2019	J	`jnl`	autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. CoRR Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, 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	A	`conf`	AdAM: Adaptive approximation management for the non-volatile memory hierarchies. DATE Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique
2018	A	`conf`	An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman
2018	A*	`conf`	Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar
2018	J	`jnl`	CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
2018	A	`conf`	DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique
2018	A	`conf`	Error resilience analysis for systematically employing approximate computing in convolutional neural networks. DATE Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
2018	J	`jnl`	FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, 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	J	`jnl`	ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
2018	J	`jnl`	MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. CoRR Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, 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`	QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
2018	C	`conf`	Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique
2018	—	`conf`	Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique
2018	J	`jnl`	SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
2018	Misc	`conf`	Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
2018	J	`jnl`	Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
2018	J	`jnl`	Squash: Approximate Square-Accumulate With Self-Healing. IEEE Access G. A. Gillani, Muhammad Abdullah Hanif, M. Krone, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler
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
2017	A*	`conf`	QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. DAC Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique
2016	B	`conf`	Detecting riots using action localization. ICIP Muhammad Abdullah Hanif, Asad Anwar Butt, Muhammad Murtaza Khan