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Faranak Abri
Faranak Abri
在 sjsu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
88*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
76*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
51*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
16*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
142023
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
132020
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
112021
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
102022
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
92022
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
72022
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
62024
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
62022
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
52023
Ensemble learning for detecting fake reviews. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)(pp. 1320-1325)
L Gutierrez-Espinoza, F Abri, AS Namin, KS Jones, DR Sears
IEEE, 2020
52020
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
42022
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
22023
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
22020
Abuse of the Cloud as an Attack Platform
M Chatterjee, P Datta, F Abri, AS Namin, KS Jones
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
22020
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
12024
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