no code implementations • 25 Apr 2022 • Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan
Moreover, the hybrid defense method, presented in this study, improves the accuracy for traffic sign classification compared to the traditional defense methods (i. e., JPEG filtering, feature squeezing, binary filtering, and random filtering) up to 6%, 50%, and 55% for FGSM, MIM, and PGD attacks, respectively.
no code implementations • 14 Oct 2021 • Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan, Sakib Mahmud Khan
A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast number of calculations simultaneously compared to classical computers.
no code implementations • 2 Aug 2021 • Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine, Ayse Turhan Comert, Diamon Rice, Gurcan Comert, Dimitra Michalaka, Judith Mwakalonge, Reek Majumdar, Mashrur Chowdhury
The incident detection performance of the hybrid model is evaluated against baseline classical ML models.
no code implementations • 2 Aug 2021 • Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed, Zadid Khan, Frank Ngeni, Gurcan Comert, Judith Mwakalonge, Dimitra Michalaka, Mashrur Chowdhury
To make classification models resilient against adversarial attacks, we used a hybrid deep-learning model with both the quantum and classical layers.
no code implementations • 29 Dec 2019 • Gurcan Comert, Zadid Khan, Mizanur Rahman, Mashrur Chowdhury
Thus, the objective of this study is to develop queue length prediction models for signalized intersections that can be leveraged by ASCS using four variations of Grey systems: (i) the first order single variable Grey model (GM(1, 1)); (ii) GM(1, 1) with Fourier error corrections; (iii) the Grey Verhulst model (GVM), and (iv) GVM with Fourier error corrections.
no code implementations • 24 Jun 2019 • Zadid Khan, Mashrur Chowdhury, Mhafuzul Islam, Chin-Ya Huang, Mizanur Rahman
This attack detection model can detect false information with an accuracy, precision and recall of 95%, 95% and 87%, respectively, while satisfying the real-time communication and computational requirements.