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Faranak Abri
Faranak Abri
Adresse e-mail validée de sjsu.edu
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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
73*2019
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
41*2020
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
38*2021
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
33*2020
Email embeddings for phishing detection
LF Gutierrez, F Abri, M Armstrong, AS Namin, KS Jones
2020 ieee international conference on big data (big data), 2087-2092, 2020
13*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
72022
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
72020
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
52022
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
52021
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
42022
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
12022
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
12022
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
12020
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
12020
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
S Gopali, AS Namin, F Abri, KS Jones
arXiv preprint arXiv:2404.09802, 2024
2024
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
2023
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
2023
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
2023
Disaster and Urgency Detection from Social Media Messages using Natural Language Processing
P Krishan, F Abri
Telematique, 7713-7722, 2023
2023
Toward Explainable Users: Using NLP to Enable AI to Understand Users’ Perceptions of Cyber Attacks
F Abri, LF Gutiérrez, CT Kulkarni, A Siami Namin, KS Jones
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021
2021
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