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Faranak Abri
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2020 – today
- 2024
- [j4]Saroj Gopali
, Faranak Abri
The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets. IEEE Access 12: 136451-136465 (2024) - [j3]Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin:
A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data. IEEE Access 12: 155423-155436 (2024) - [c18]Tien Nguyen, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data. COMPSAC 2024: 376-381 - [c17]Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. COMPSAC 2024: 1739-1746 - [c16]Saroj Gopali
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. SAC 2024: 1064-1066 - [i12]Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones:
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. CoRR abs/2404.09802 (2024) - [i11]Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. CoRR abs/2405.19578 (2024) - 2023
- [c15]Denish Omondi Otieno, Faranak Abri
Detecting Phishing URLs using the BERT Transformer Model. IEEE Big Data 2023: 2483-2492 - [c14]Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. IEEE Big Data 2023: 2499-2507 - [c13]Sonali Singh, Faranak Abri
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. IEEE Big Data 2023: 2508-2517 - [i10]Sonali Singh, Faranak Abri, Akbar Siami Namin:
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. CoRR abs/2311.14876 (2023) - 2022
- [b1]Faranak Abri:
Content analysis and modeling interactions in social engineering attacks. Texas Tech University, Lubbock, USA, 2022 - [j2]Huyen N. Nguyen
MalView: Interactive Visual Analytics for Comprehending Malware Behavior. IEEE Access 10: 99909-99930 (2022) - [j1]Faranak Abri
Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies. IEEE Access 10: 109949-109968 (2022) - [c12]Bimal Karki, Faranak Abri
Using Transformers for Identification of Persuasion Principles in Phishing Emails. IEEE Big Data 2022: 2841-2848 - [c11]Pooja Krishan, Faranak Abri
Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events. IEEE Big Data 2022: 2849-2856 - [c10]Prerit Datta, Sara Sartoli, Luis Felipe Gutiérrez, Faranak Abri
A user-centric threat model and repository for cyber attacks. SAC 2022: 1341-1346 - 2021
- [c9]Saroj Gopali
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE BigData 2021: 2415-2420 - [c8]Faranak Abri
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. COMPSAC 2021: 1703-1710 - [i9]Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones:
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. CoRR abs/2106.01998 (2021) - [i8]Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. CoRR abs/2112.09293 (2021) - 2020
- [c7]Faranak Abri, Luis Felipe Gutiérrez
Predicting Emotions Perceived from Sounds. IEEE BigData 2020: 2057-2064 - [c6]Luis Felipe Gutiérrez
Email Embeddings for Phishing Detection. IEEE BigData 2020: 2087-2092 - [c5]Moitrayee Chatterjee
Abuse of the Cloud as an Attack Platform. COMPSAC 2020: 1091-1092 - [c4]Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears:
Ensemble Learning for Detecting Fake Reviews. COMPSAC 2020: 1320-1325 - [c3]Moitrayee Chatterjee
Cloud: A Platform to Launch Stealth Attacks. COMPSAC 2020: 1558-1563 - [c2]Faranak Abri, Luis Felipe Gutiérrez
Linguistic Features for Detecting Fake Reviews. ICMLA 2020: 352-359 - [i7]Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Launching Stealth Attacks using Cloud. CoRR abs/2006.07908 (2020) - [i6]Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears:
Fake Reviews Detection through Ensemble Learning. CoRR abs/2006.07912 (2020) - [i5]Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Cloud as an Attack Platform. CoRR abs/2006.07914 (2020) - [i4]Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears:
Fake Reviews Detection through Analysis of Linguistic Features. CoRR abs/2010.04260 (2020) - [i3]Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones:
Predicting Emotions Perceived from Sounds. CoRR abs/2012.02643 (2020) - [i2]Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones:
Phishing Detection through Email Embeddings. CoRR abs/2012.14488 (2020)
2010 – 2019
- 2019
- [c1]Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? IEEE BigData 2019: 3252-3259 - [i1]Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. CoRR abs/1911.09586 (2019)
Coauthor Index
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last updated on 2024-11-08 21:31 CET by the dblp team
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