Muhammad Abdullah Hanif
Muhammad Abdullah Hanif
Postdoctoral Associate, New York University, Abu Dhabi
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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