| Improving the reliability of deep neural networks in NLP: A review B Alshemali, J Kalita Knowledge-Based Systems 191 (105210), 1-19, 2020 | 227 | 2020 |
| Toward mitigating adversarial texts B Alshemali, J Kalita International Journal of Computer Applications 178 (50), 1-7, 2019 | 19 | 2019 |
| Speech Coding and Audio Preprocessing for Mitigating and Detecting Audio Adversarial Examples on Automatic Speech Recognition K Rajaratnam, B Alshemali, K Shah, J Kalita University of Colorado at Colorado Springs, 2018 | 15 | 2018 |
| Adversarial Examples in Arabic B Alshemali, J Kalita International Conference on Computational Science and Computational Intelligence, 2019 | 14 | 2019 |
| Generalization to Mitigate Synonym Substitution Attacks B Alshemali, J Kalita Deep Learning Inside Out Workshop at the Conference on Empirical Methods in …, 2020 | 10 | 2020 |
| Character-level Adversarial Examples in Arabic B Alshemali, J Kalita IEEE International Conference on Machine Learning and Applications, 2021 | 5 | 2021 |
| Toward robust image classification B Alshemali, A Graham, J Kalita Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 3 | 2020 |
| Adversarial Attacks and Defenses in Text Classification B Alshemali University of Colorado Colorado Springs, 2022 | | 2022 |
| Evaluating Convolutional Neural Network Dropout Uncertainty for Open Set Recognition B Alshemali University of Colorado at Colorado Springs, 2017 | | 2017 |
Jugal KalitaUniversity of Colorado, Colorado SpringsVerified email at uccs.edu
