| ALWANN: automatic layer-wise approximation of deep neural network accelerators without retraining V Mrazek, Z Vasícek, L Sekanina, MA Hanif, M Shafique 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 128 | 2019 |
| Ft-clipact: Resilience analysis of deep neural networks and improving their fault tolerance using clipped activation LH Hoang, MA Hanif, M Shafique 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 127 | 2020 |
| An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era M Shafique, T Theocharides, CS Bouganis, MA Hanif, F Khalid, R Hafız, ... 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 827-832, 2018 | 120 | 2018 |
| Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators S Ullah, S Rehman, BS Prabakaran, F Kriebel, MA Hanif, M Shafique, ... Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 100 | 2018 |
| Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges A Marchisio, MA Hanif, F Khalid, G Plastiras, C Kyrkou, T Theocharides, ... 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 553-559, 2019 | 97 | 2019 |
| Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks K Shaheen, MA Hanif, O Hasan, M Shafique Journal of Intelligent & Robotic Systems 105 (1), 1-32, 2022 | 91 | 2022 |
| Robust machine learning systems: Reliability and security for deep neural networks MA Hanif, F Khalid, RVW Putra, S Rehman, M Shafique 2018 IEEE 24th International Symposium on On-Line Testing And Robust System …, 2018 | 89 | 2018 |
| autoAx: An automatic design space exploration and circuit building methodology utilizing libraries of approximate components V Mrazek, MA Hanif, Z Vasicek, L Sekanina, M Shafique 2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019 | 86 | 2019 |
| DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems BS Prabakaran, S Rehman, MA Hanif, S Ullah, G Mazaheri, A Kumar, ... 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 917-920, 2018 | 70 | 2018 |
| Error resilience analysis for systematically employing approximate computing in convolutional neural networks MA Hanif, R Hafiz, M Shafique 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 913-916, 2018 | 66 | 2018 |
| QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks F Khalid, H Ali, H Tariq, MA Hanif, S Rehman, R Ahmed, M Shafique 2019 IEEE 25th International Symposium on On-Line Testing and Robust System …, 2019 | 55 | 2019 |
| MACISH: Designing approximate MAC accelerators with internal-self-healing GA Gillani, MA Hanif, B Verstoep, SH Gerez, M Shafique, ABJ Kokkeler IEEE Access 7, 77142-77160, 2019 | 55 | 2019 |
| GNNUnlock: Graph neural networks-based oracle-less unlocking scheme for provably secure logic locking L Alrahis, S Patnaik, F Khalid, MA Hanif, H Saleh, M Shafique, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 780-785, 2021 | 50 | 2021 |
| Building robust machine learning systems: Current progress, research challenges, and opportunities JJ Zhang, K Liu, F Khalid, MA Hanif, S Rehman, T Theocharides, A Artussi, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019 | 50 | 2019 |
| QuAd: Design and analysis of quality-area optimal low-latency approximate adders MA Hanif, R Hafiz, O Hasan, M Shafique Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 50 | 2017 |
| Is spiking secure? a comparative study on the security vulnerabilities of spiking and deep neural networks A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 45 | 2020 |
| SalvageDNN: salvaging deep neural network accelerators with permanent faults through saliency-driven fault-aware mapping M Abdullah Hanif, M Shafique Philosophical Transactions of the Royal Society A 378 (2164), 20190164, 2020 | 44 | 2020 |
| Towards energy-efficient and secure edge AI: A cross-layer framework ICCAD special session paper M Shafique, A Marchisio, RVW Putra, MA Hanif 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 41 | 2021 |
| CANN: Curable approximations for high-performance deep neural network accelerators MA Hanif, F Khalid, M Shafique 2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019 | 39 | 2019 |
| FAdeML: understanding the impact of pre-processing noise filtering on adversarial machine learning F Khalid, MA Hanif, S Rehman, J Qadir, M Shafique 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 902-907, 2019 | 38 | 2019 |
