| A roadmap toward the resilient internet of things for cyber-physical systems D Ratasich, F Khalid, F Geissler, R Grosu, M Shafique, E Bartocci IEEE Access 7, 13260-13283, 2019 | 198 | 2019 |
| 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 Hafiz, ... Design, Automation and Test in Europe (DATE-2018), 2018 | 132 | 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 | 115 | 2019 |
| PANDA Phase One: PANDA collaboration G Barucca, F Davì, G Lancioni, P Mengucci, L Montalto, PP Natali, ... The European Physical Journal A 57 (6), 184, 2021 | 109* | 2021 |
| 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 | 105 | 2018 |
| Power Profiling of Microcontroller’s Instruction Set for Runtime Hardware Trojans Detection without Golden Circuit Models F Khalid, SR Hasan, O Hasan, F Awwad Design, Automation & Test in Europe Conference & Exhibition (DATE), 294 - 297, 2017 | 79 | 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 | 70 | 2021 |
| 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 | 69* | 2020 |
| 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 | 63 | 2019 |
| 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 | 60 | 2019 |
| A Self-learning Framework to Detect the Intruded Integrated Circuits F Khalid, I Abbasi, F Khalid, O Hasan, F Awwad, SR Hasan IEEE Symposium on circuits and System, 1702 - 1705, 2016 | 56* | 2016 |
| Fadec: A fast decision-based attack for adversarial machine learning F Khalid, H Ali, MA Hanif, S Rehman, R Ahmed, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 49* | 2020 |
| CANN: Curable approximations for high-performance deep neural network accelerators MA Hanif, F Khalid, M Shafique Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 47 | 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 | 45 | 2019 |
| Security for machine learning-based systems: Attacks and challenges during training and inference F Khalid, MA Hanif, S Rehman, M Shafique 2018 International Conference on Frontiers of Information Technology (FIT …, 2018 | 45 | 2018 |
| FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements M Hailesellasie, SR Hasan, F Khalid, F Awwad, M Shafique IEEE International Symposium on Circuits and Systems (ISCAS), 2018 | 41 | 2018 |
| TrISec: training data-unaware imperceptible security attacks on deep neural networks F Khalid, MA Hanif, S Rehman, R Ahmed, M Shafique 2019 IEEE 25th International symposium on on-line testing and robust system …, 2019 | 36 | 2019 |
| Trojanzero: Switching activity-aware design of undetectable hardware trojans with zero power and area footprint IH Abbassi, F Khalid, S Rehman, AM Kamboh, A Jantsch, S Garg, ... 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 914-919, 2019 | 34 | 2019 |
| Capsattacks: Robust and imperceptible adversarial attacks on capsule networks A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique arXiv preprint arXiv:1901.09878, 2019 | 34 | 2019 |
| Robustness for smart cyber physical systems and internet-of-things: From adaptive robustness methods to reliability and security for machine learning F Kriebel, S Rehman, MA Hanif, F Khalid, M Shafique 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 581-586, 2018 | 33 | 2018 |
Muhammad ShafiqueProfessor, ECE, New York University (AD-UAE, Tandon-USA), Director eBRAIN LabVerified email at nyu.edu
