| Approximate Computing W Liu, F Lombardi Springer, 2022 | 1680 | 2022 |
| Design of approximate radix-4 booth multipliers for error-tolerant computing W Liu, L Qian, C Wang, H Jiang, J Han, F Lombardi IEEE Transactions on Computers 66 (8), 1435-1441, 2017 | 341 | 2017 |
| Machine Learning Security: Threats, Countermeasures, and Evaluations M Xue, C Yuan, H Wu, Y Zhang, W Liu IEEE Access 8, 74720-74742, 2020 | 270 | 2020 |
| A first step toward cost functions for quantum-dot cellular automata designs W Liu, L Lu, M O’Neill, EE Swartzlander IEEE Transactions on Nanotechnology 13 (3), 476-487, 2014 | 263 | 2014 |
| A Retrospective and Prospective View of Approximate Computing W Liu, F Lombardi, M Shulte Proceedings of the IEEE 108 (3), 394-399, 2020 | 211 | 2020 |
| Design and evaluation of approximate logarithmic multipliers for low power error-tolerant applications W Liu, J Xu, D Wang, C Wang, P Montuschi, F Lombardi IEEE Transactions on Circuits and Systems I: Regular Papers 65 (9), 2856-2868, 2018 | 207 | 2018 |
| Optimized Schoolbook Polynomial Multiplication for Compact Lattice-Based Cryptography on FPGA W Liu, S Fan, A Khalid, C Rafferty, M O’Neill IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (10 …, 2019 | 158 | 2019 |
| Ten years of hardware Trojans: a survey from the attacker's perspective M Xue, C Gu, W Liu, S Yu, M O'Neill IET Computers & Digital Techniques 14 (6), 231-246, 2020 | 154 | 2020 |
| Are QCA cryptographic circuits resistant to power analysis attack? W Liu, S Srivastava, L Lu, M O'Neill, EE Swartzlander IEEE Transactions on Nanotechnology 11 (6), 1239-1251, 2012 | 127 | 2012 |
| Design rules for quantum-dot cellular automata W Liu, L Lu, M O'Neill, EE Swartzlander 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2361-2364, 2011 | 127 | 2011 |
| Intellectual property protection for deep learning models: Taxonomy, methods, attacks, and evaluations M Xue, Y Zhang, J Wang, W Liu IEEE Transactions on Artificial Intelligence 3 (6), 908-923, 2021 | 106 | 2021 |
| One-to-N & N-to-one: Two advanced backdoor attacks against deep learning models M Xue, C He, J Wang, W Liu IEEE Transactions on Dependable and Secure Computing 19 (3), 1562-1578, 2020 | 106 | 2020 |
| Design and Analysis of Majority Logic-Based Approximate Adders and Multipliers W Liu, T Zhang, E McLarnon, M O’Neill, P Montuschi, F Lombardi IEEE Transactions on Emerging Topics in Computing 9 (3), 1609-1624, 2019 | 105 | 2019 |
| QCA systolic array design L Lu, W Liu, M O'Neill, EE Swartzlander IEEE Transactions on Computers 62 (3), 548-560, 2013 | 103 | 2013 |
| Approximate Designs for Fast Fourier Transform (FFT) With Application to Speech Recognition W Liu, Q Liao, F Qiao, W Xia, C Wang, F Lombardi IEEE Transactions on Circuits and Systems I: Regular Papers 66 (12), 4727-4739, 2019 | 102 | 2019 |
| Hybrid Low Radix Encoding-Based Approximate Booth Multipliers H Waris, C Wang, W Liu IEEE Transactions on Circuits and Systems II: Express Briefs 67 (12), 3367-3371, 2020 | 101 | 2020 |
| High performance CNN accelerators based on hardware and algorithm co-optimization T Yuan, W Liu, J Han, F Lombardi IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 250-263, 2020 | 100 | 2020 |
| Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks Y Gao, W Liu, F Lombardi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 98 | 2020 |
| A flip-flop based arbiter physical unclonable function (APUF) design with high entropy and uniqueness for FPGA implementation C Gu, W Liu, Y Cui, N Hanley, MÁ O’Neill, F Lombardi IEEE Transactions on Emerging Topics in Computing 9 (4), 1853-1866, 2019 | 95 | 2019 |
| On the Design of Approximate Restoring Dividers for Error-Tolerant Applications L Chen, J Han, W Liu, F Lombardi IEEE Transactions on Computers 65 (8), 2522-2533, 2016 | 94 | 2016 |
Fabrizio LombardiInternational Test Conference (ITC) Endowed Chair Professor, Northeastern UniversityVerified email at northeastern.edu
