| Can machine/deep learning classifiers detect zero-day malware with high accuracy? F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin 2019 IEEE international conference on big data (Big Data), 3252-3259, 2019 | 87* | 2019 |
| A comparison of TCN and LSTM models in detecting anomalies in time series data S Gopali, F Abri, S Siami-Namini, AS Namin 2021 IEEE International Conference on Big Data (Big Data), 2415-2420, 2021 | 74* | 2021 |
| Ensemble learning for detecting fake reviews L Gutierrez-Espinoza, F Abri, AS Namin, KS Jones, DRW Sears 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 50* | 2020 |
| Linguistic features for detecting fake reviews F Abri, LF Gutiérrez, AS Namin, KS Jones, DRW Sears 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 40* | 2020 |
| Email embeddings for phishing detection LF Gutiérrez, F Abri, M Armstrong, AS Namin, KS Jones 2020 ieee international conference on big data (big data), 2087-2092, 2020 | 15* | 2020 |
| Exploiting large language models (llms) through deception techniques and persuasion principles S Singh, F Abri, AS Namin 2023 IEEE International Conference on Big Data (BigData), 2508-2517, 2023 | 13 | 2023 |
| Predicting emotions perceived from sounds F Abri, LF Gutiérrez, AS Namin, DRW Sears, KS Jones 2020 IEEE International Conference on Big Data (Big Data), 2057-2064, 2020 | 12 | 2020 |
| Markov decision process for modeling social engineering attacks and finding optimal attack strategies F Abri, J Zheng, AS Namin, KS Jones IEEE Access 10, 109949-109968, 2022 | 10 | 2022 |
| A comparative analysis of modeling and predicting perceived and induced emotions in sonification F Abri, LF Gutiérrez, P Datta, DRW Sears, A Siami Namin, KS Jones Electronics 10 (20), 2519, 2021 | 10 | 2021 |
| Using transformers for identification of persuasion principles in phishing emails B Karki, F Abri, AS Namin, KS Jones 2022 IEEE International Conference on Big Data (Big Data), 2841-2848, 2022 | 9 | 2022 |
| A user-centric threat model and repository for cyber attacks P Datta, S Sartoli, LF Gutierrez, F Abri, AS Namin, KS Jones Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1341-1346, 2022 | 7 | 2022 |
| The performance of sequential deep learning models in detecting phishing websites using contextual features of URLs S Gopali, AS Namin, F Abri, KS Jones Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 1064-1066, 2024 | 6 | 2024 |
| MalView: Interactive visual analytics for comprehending malware behavior HN Nguyen, F Abri, V Pham, M Chatterjee, AS Namin, T Dang IEEE Access 10, 99909-99930, 2022 | 5 | 2022 |
| Detecting phishing urls using the bert transformer model DO Otieno, F Abri, AS Namin, KS Jones 2023 IEEE International Conference on Big Data (BigData), 2483-2492, 2023 | 3 | 2023 |
| Classifying perceived emotions based on polarity of arousal and valence from sound events P Krishan, F Abri 2022 IEEE International Conference on Big Data (Big Data), 2849-2856, 2022 | 3 | 2022 |
| The performance of machine and deep learning algorithms in detecting fake reviews B Sachithanandam, AS Namin, F Abri 2023 IEEE International Conference on Big Data (BigData), 2499-2507, 2023 | 2 | 2023 |
| Cloud: A Platform to Launch Stealth Attacks M Chatterjee, P Datta, F Abri, AS Namin, KS Jones 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 2 | 2020 |
| The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data S Gopali, S Siami-Namini, F Abri, AS Namin Natural Language Processing Journal 9, 100120, 2024 | 1 | 2024 |
| The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets S Gopali, F Abri, AS Namin, KS Jones IEEE Access, 2024 | 1 | 2024 |
| The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models DO Otieno, F Abri, S Siami-Namini, AS Namin 2024 IEEE 48th Annual Computers, Software, and Applications Conference …, 2024 | 1 | 2024 |