MH
Muhammad Abdullah Hanif
cs.LGcs.ARcs.CRcs.CVcs.AIcs.NEcs.DCstat.MLcs.ROquant-ph
On Valency
published · living versionsW_qa86dkdm·v1 · currentpublished
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
with Le-Ha Hoang, Muhammad Shafique
1 version
Preprints & journals
61 papers in the corpus · 2018–2026MS-Exam-Gen: An Automatic Benchmark Construction Toolkit for Evaluating LLMs on Multiple Sclerosis-MRI Imaging Knowledge2610.06170v2 · Abdul Basit, Muhammad Abdullah Hanif, Muhammad Shafique2026 · 0 citationsarXiv
Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models2605.09666v1 · Abdul Basit, Ashir Rashid, Muhammad Abdullah Hanif et al.2026 · 0 citationsarXiv
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models2604.21952v1 · Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif et al.2026 · 0 citationsarXiv
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices2601.00367v1 · Nandish Chattopadhyay, Abdul Basit, Amira Guesmi et al.2026 · 1 citation2026 Design, Automation & Test in Europe Conference (DATE), Verona, Italy, 2026
ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search2508.01505v1 · Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif et al.2025 · 2 citationsarXiv
ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems2507.18656v1 · Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni et al.2025 · 2 citationsarXiv
DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems2410.19336v1 · Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique2024 · 4 citationsarXiv
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms2409.14515v1 · Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique2024 · 8 citationsarXiv
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings2409.12184v1 · Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen et al.2024 · 4 citationsarXiv
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy2408.02412v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2024 · 0 citationsarXiv
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather2407.02581v1 · Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique2024 · 6 citationsarXiv
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition2405.03244v1 · Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif et al.2024 · 0 citationsProceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:62-82, 2024
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications2403.11515v2 · Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani et al.2024 · 8 citationsarXiv
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices2403.00830v1 · Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif et al.2024 · 2 citationsarXiv
A Comparative Analysis of Hybrid-Quantum Classical Neural Networks2402.10540v2 · Kamila Zaman, Tasnim Ahmed, Muhammad Abdullah Hanif et al.2024 · 28 citationsarXiv
Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks2402.10605v2 · Kamila Zaman, Tasnim Ahmed, Muhammad Kashif et al.2024 · 13 citationsarXiv
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches2311.12084v2 · Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif et al.2023 · 3 citationsarXiv
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction2311.12211v1 · Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif et al.2023 · 1 citationarXiv
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead2310.10315v4 · Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif et al.2023 · 23 citationsarXiv
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook2308.06173v1 · Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni et al.2023 · 54 citationsarXiv
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation2308.03108v2 · Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni et al.2023 · 18 citationsarXiv
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques2307.11124v2 · Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos et al.2023 · 34 citationsACM Computing Surveys, Volume 57, Issue 7, Article 185, 2025
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications2307.11128v2 · Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos et al.2023 · 17 citationsACM Computing Surveys, Volume 57, Issue 7, Article 177, 2025
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization2305.12590v1 · Muhammad Abdullah Hanif, Muhammad Shafique2023 · 3 citationsarXiv
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining2305.12595v1 · Muhammad Abdullah Hanif, Muhammad Shafique2023 · 0 citationsarXiv
DAP: A Dynamic Adversarial Patch for Evading Person Detectors2305.11618v2 · Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif et al.2023 · 39 citationsarXiv
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators2304.12949v1 · Muhammad Abdullah Hanif, Muhammad Shafique2023 · 2 citationsarXiv
RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults.37123371 · Putra, Rachmad Vidya Wicaksana, Hanif, Muhammad Abdullah, Shafique, Muhammad2023 · 11 citationsFrontiers in neuroscience. 2023;17:1159440
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems2303.14009v1 · Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif et al.2023 · 0 citationsarXiv
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation2303.02495v3 · Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani et al.2023 · 3 citationsarXiv
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens2303.01819v1 · Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif et al.2023 · 4 citationsarXiv
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems2303.01338v2 · Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique2023 · 27 citationsarXiv
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation2303.01351v3 · Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani et al.2023 · 6 citationsarXiv
EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems.36033624 · Putra, Rachmad Vidya Wicaksana, Hanif, Muhammad Abdullah, Shafique, Muhammad2022 · 24 citationsFrontiers in neuroscience. 2022;16:937782
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks2208.00331v1 · Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio et al.2022 · 3 citationsarXiv
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems2204.09514v1 · Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif et al.2022 · 0 citationsarXiv
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors2203.05523v2 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2022 · 5 citationsarXiv
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction2111.07062v1 · Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif et al.2021 · 37 citationsarXiv
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework2109.09829v1 · Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra et al.2021 · 58 citationsarXiv
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories2108.10271v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2021 · 41 citationsarXiv
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders2106.08800v2 · Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif et al.2021 · 3 citationsarXiv
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks2105.12374v2 · Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan et al.2021 · 126 citationsarXiv
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks2105.03251v1 · Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique2021 · 4 citationsarXiv
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM2103.00421v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2021 · 32 citationsarXiv
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures2101.12351v1 · Muhammad Abdullah Hanif, Muhammad Shafique2021 · 17 citationsarXiv
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking2012.05948v1 · Lilas Alrahis, Satwik Patnaik, Faiq Khalid et al.2020 · 69 citationsarXiv
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware2010.05754v1 · Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif et al.2020 · 15 citationsarXiv
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks2004.10341v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2020 · 34 citationsarXiv
SalvageDNN: salvaging deep neural network accelerators with permanent faults through saliency-driven fault-aware mapping.31865875 · Abdullah Hanif, Muhammad, Shafique, Muhammad2019 · 45 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2020;378(2164):20190164
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks1912.01978v2 · Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid et al.2019 · 17 citationsarXiv
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