Detecting riots using action localization. - Muhammad Abdullah Hanif; Asad Anwar Butt; Muhammad Murtaza Khan (ICIP, 2016)

QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Osman Hasan; Muhammad Shafique 001 (DAC, 2017)

Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. - Salim Ullah; Semeen Rehman; Bharath Srinivas Prabakaran; Florian Kriebel; Muhammad Abdullah Hanif; Muhammad Shafique 001; Akash Kumar 001 (DAC, 2018)

An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. - Muhammad Shafique 001; Theocharis Theocharides; Christos-Savvas Bouganis; Muhammad Abdullah Hanif; Faiq Khalid; Rehan Hafiz; Semeen Rehman (DATE, 2018)

Error resilience analysis for systematically employing approximate computing in convolutional neural networks. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (DATE, 2018)

DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. - Bharath Srinivas Prabakaran; Semeen Rehman; Muhammad Abdullah Hanif; Salim Ullah; Ghazal Mazaheri; Akash Kumar 001; Muhammad Shafique 001 (DATE, 2018)

AdAM: Adaptive approximation management for the non-volatile memory hierarchies. - Mohammad Taghi Teimoori; Muhammad Abdullah Hanif; Alireza Ejlali; Muhammad Shafique 001 (DATE, 2018)

HW/SW co-design and co-optimizations for deep learning. - Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (INTESA@ESWEEK, 2018)

Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Muhammad Shafique 001 (FIT, 2018)

PruNet: Class-Blind Pruning Method For Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2018)

Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. - Muhammad Abdullah Hanif; Faiq Khalid; Rachmad Vidya Wicaksana Putra; Semeen Rehman; Muhammad Shafique 001 (IOLTS, 2018)

Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. - Florian Kriebel; Semeen Rehman; Muhammad Abdullah Hanif; Faiq Khalid; Muhammad Shafique 001 (ISVLSI, 2018)

Squash: Approximate Square-Accumulate With Self-Healing. - G. A. Gillani; Muhammad Abdullah Hanif; M. Krone; Sabih H. Gerez; Muhammad Shafique 001; André B. J. Kokkeler (IEEE Access, 2018)

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. - Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Tanvir; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (CoRR, 2018)

ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Muhammad Shafique 001 (CoRR, 2018)

SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. - Hammad Tariq; Hassan Ali 001; Muhammad Abdullah Hanif; Faiq Khalid; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2018)

A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Semeen Rehman; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2018)

X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. - Muhammad Abdullah Hanif; Alberto Marchisio; Tabasher Arif; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (J. Low Power Electron., 2018)

Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (Approximate Circuits, 2019)

Hardware-Software Approximations for Deep Neural Networks. - Muhammad Abdullah Hanif; Muhammad Usama Javed; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (Approximate Circuits, 2019)

CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. - Muhammad Abdullah Hanif; Faiq Khalid; Muhammad Shafique 001 (DAC, 2019)

autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. - Vojtech Mrazek; Muhammad Abdullah Hanif; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (DAC, 2019)

Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. - Jeff Jun Zhang; Kang Liu 017; Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Theocharis Theocharides; Alessandro Artussi; Muhammad Shafique 001; Siddharth Garg (DAC, 2019)

FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Junaid Qadir 001; Muhammad Shafique 001 (DATE, 2019)

CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. - Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2019)

ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. - Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICCAD, 2019)

QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. - Faiq Khalid; Hassan Ali 001; Hammad Tariq; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IOLTS, 2019)

TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IOLTS, 2019)

MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. - Muhammad Abdullah Hanif; Muhammad Zuhaib Akbar; Rehan Ahmed; Semeen Rehman; Axel Jantsch; Muhammad Shafique 001 (ISLPED, 2019)

Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. - Alberto Marchisio; Muhammad Abdullah Hanif; Faiq Khalid; George Plastiras; Christos Kyrkou; Theocharis Theocharides; Muhammad Shafique 001 (ISVLSI, 2019)

MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. - G. A. Gillani; Muhammad Abdullah Hanif; B. Verstoep; Sabih H. Gerez; Muhammad Shafique 001; André B. J. Kokkeler (IEEE Access, 2019)

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

RED-Attack: Resource Efficient Decision based Attack for Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2019)

SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2019)

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CoRR, 2019)

PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. - Muhammad Abdullah Hanif; Rehan Hafiz; Osman Hasan; Muhammad Shafique 001 (DAC, 2020)

DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2020)

FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. - Le Ha Hoang; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2020)

ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2020)

FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. - Mahum Naseer; Mishal Fatima Minhas; Faiq Khalid; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (DATE, 2020)

FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IJCNN, 2020)

FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2020)

Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (IOLTS, 2020)

Cross-layer approaches for improving the dependability of deep learning systems. - Muhammad Abdullah Hanif; Le Ha Hoang; Muhammad Shafique 001 (SCOPES, 2020)

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. - Paniti Achararit; Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001; Yuko Hara-Azumi (IEEE Access, 2020)

Resistive Crossbar-Aware Neural Network Design and Optimization. - Muhammad Abdullah Hanif; Aditya Manglik; Muhammad Shafique 001 (IEEE Access, 2020)

SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. - Hassan Ali 001; Faiq Khalid; Hammad Tariq; Muhammad Abdullah Hanif; Rehan Ahmed; Semeen Rehman (IEEE Des. Test, 2020)

PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. - Muhammad Kamran Ayub; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (ACM J. Emerg. Technol. Comput. Syst., 2020)

SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. - Hazoor Ahmad; Tabasher Arif; Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Automated HW/SW co-design for edge AI: state, challenges and steps ahead. - Oliver Bringmann 001; Wolfgang Ecker; Ingo Feldner; Adrian Frischknecht; Christoph Gerum; Timo Hämäläinen 001; Muhammad Abdullah Hanif; Michael J. Klaiber; Daniel Mueller-Gritschneder; Paul Palomero Bernardo; Sebastian Siegfried Prebeck; Muhammad Shafique 001 (CODES+ISSS, 2021)

SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2021)

GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Faiq Khalid; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (DATE, 2021)

DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2021)

TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. - Le Ha Hoang; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DSD, 2021)

Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. - Alberto Bosio; Ian O'Connor; Marcello Traiola; Jorge Echavarria; Jürgen Teich; Muhammad Abdullah Hanif; Muhammad Shafique 001; Said Hamdioui; Bastien Deveautour; Patrick Girard 001; Arnaud Virazel; Koen Bertels (ETS, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (ICCAD, 2021)

UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (ICCAD, 2021)

ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICCAD, 2021)

TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. - Dilshad Sabir; Muhammad Abdullah Hanif; Ali Hassan 001; Saad Rehman; Muhammad Shafique 001 (IEEE Access, 2021)

Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. - Faiq Khalid; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2021)

High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. - Ebrahim Farahmand; Ali Mahani 001; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (CoRR, 2021)

A survey of hardware architectures for generative adversarial networks. - Nivedita Shrivastava; Muhammad Abdullah Hanif; Sparsh Mittal; Smruti Ranjan Sarangi; Muhammad Shafique 001 (J. Syst. Archit., 2021)

DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2022)

CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. - Muhammad Abdullah Hanif; Giuseppe Maria Sarda; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2022)

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. - Shail Dave; Alberto Marchisio; Muhammad Abdullah Hanif; Amira Guesmi; Aviral Shrivastava; Ihsen Alouani; Muhammad Shafique 001 (VTS, 2022)

Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. - Khadija Shaheen; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (J. Intell. Robotic Syst., 2022)

GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Emerg. Top. Comput., 2022)

A cross-layer approach towards developing efficient embedded Deep Learning systems. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (Microprocess. Microsystems, 2022)

Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2023)

Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. - Jorge Castro-Godínez; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DSN-W, 2023)

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. - Ayoub Arous; Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (IJCNN, 2023)

FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (IJCNN, 2023)

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2023)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CoRR, 2023)

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. - Ebrahim Farahmand; Ali Mahani 001; Behnam Ghavami; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (CoRR, 2023)

EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. - Kamila Zaman; Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. - Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (Inf., 2023)

DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (Inf., 2023)

SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

$ tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Computers, 2023)

Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. - Ebrahim Farahmand; Ali Mahani 001; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ACM Trans. Embed. Comput. Syst., 2023)

Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models. - Aya El Mir; Lukelo Thadei Luoga; Boyuan Chen 004; Muhammad Abdullah Hanif; Muhammad Shafique 001 (BHI, 2024)

DAP: A Dynamic Adversarial Patch for Evading Person Detectors. - Amira Guesmi; Ruitian Ding; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CVPR, 2024)

Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (DAC, 2024)

RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. - Abdul Basit; Khizar Hussain; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICARCV, 2024)

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. - Niraj Pudasaini; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICARCV, 2024)

CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. - Sushil Bohara; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IJCNN, 2024)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Bassem Ouni; Muhammad Shafique 001 (IROS, 2024)

DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IROS, 2024)

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2024)

MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. - Abdul Basit; Khizar Hussain; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. - Nishant Suresh Aswani; Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings. - Aya El Mir; Lukelo Thadei Luoga; Boyuan Chen 004; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

DREAMx: A Data-Driven Error Estimation Methodology for Adders Composed of Cascaded Approximate Units. - Muhammad Abdullah Hanif; Ayoub Arous; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects. - Muhammad Abdullah Hanif; Nandish Chattopadhyay; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2025)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao; Muhammad Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao; Muhammed Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)