| 2026 | DATE | PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices. | Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2026 | DATE | Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models. | Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Minghao Shao |
| 2025 | DAC | ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. | Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2025 | ICCV | ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2025 | IJCNN | CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation. | Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique |
| 2025 | IJCNN | 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 |
| 2024 | CVPR | DAP: A Dynamic Adversarial Patch for Evading Person Detectors. | Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique |
| 2024 | DAC | Defending against Adversarial Patches using Dimensionality Reduction. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2024 | ICARCV | RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. | Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | ICARCV | SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. | Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | IJCNN | CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. | Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | IROS | 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 |
| 2024 | IROS | 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 |
| 2023 | DATE | Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | DSN | Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. | Jorge Castro-Godnez, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | IJCNN | Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. | Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique |
| 2023 | IJCNN | FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2022 | DAC | SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2022 | IJCNN | 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 |
| 2022 | VTS | 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 |
| 2021 | DAC | SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | DATE | GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. | Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | DATE | 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 |
| 2021 | DSD | 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 |
| 2021 | ETS | Emerging Computing Devices: Challenges and Opportunities for Test and Reliability | Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jrgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels |
| 2021 | ICCAD | Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. | Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif |
| 2021 | ICCAD | UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | ICCAD | ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DAC | PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. | Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique |
| 2020 | DAC | DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. | Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. | Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | 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 |
| 2020 | IJCNN | FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. | Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2020 | IJCNN | 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 |
| 2020 | IJCNN | 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 |
| 2020 | IOLTS | Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | SCOPES | Cross-layer approaches for improving the dependability of deep learning systems. | Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique |
| 2019 | DAC | CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. | Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique |
| 2019 | DAC | autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. | Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2019 | DAC | Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. | Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg |
| 2019 | DATE | FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique |
| 2019 | DATE | CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. | Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2019 | ICCAD | ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. | Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2019 | IOLTS | QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. | Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2019 | IOLTS | TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2019 | ISLPED | 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 |
| 2018 | DAC | 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, Akash Kumar |
| 2018 | DATE | An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. | Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman |
| 2018 | DATE | Error resilience analysis for systematically employing approximate computing in convolutional neural networks. | Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique |
| 2018 | DATE | 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, Muhammad Shafique |
| 2018 | DATE | AdAM: Adaptive approximation management for the non-volatile memory hierarchies. | Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique |
| 2018 | FIT | Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique |
| 2018 | IJCNN | PruNet: Class-Blind Pruning Method For Deep Neural Networks. | Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2018 | IOLTS | Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. | Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique |
| 2017 | DAC | QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. | Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique |
| 2016 | ICIP | Detecting riots using action localization. | Muhammad Abdullah Hanif, Asad Anwar Butt, Muhammad Murtaza Khan |