Faranak Abri - RankMe

42 papers B 13C 1Misc 2Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Reinforcement Learning and Hidden Markov Models for Simulating and Analyzing Social Engineering Attacks. HICSS Bharkavi Sachithanandam, Faranak Abri, Genya Ishigaki, Jade Webb
2025	B	`conf`	Emotion Detection in Imbalanced Conversational Data Using Transformer-Based Language Models. IEEE Big Data Bipsa Paka, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2025	J	`jnl`	Exploring the Use and Misuse of Large Language Models. Inf. Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin
2025	B	`conf`	Real-Time Adaptive Topic Modeling Framework for Identifying Social Engineering Attacks. IEEE Big Data Manav Bhasin, Faranak Abri, Jade Webb, William B. Andreopoulos
2025	J	`jnl`	Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience. IEEE Access Jade Webb, Faranak Abri, Sayma Akther
2024	J	`jnl`	A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data. IEEE Access Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2024	B	`conf`	Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data. COMPSAC Tien Nguyen, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2024	B	`conf`	The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. COMPSAC Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2024	J	`jnl`	The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. CoRR Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2024	J	`jnl`	The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets. IEEE Access Saroj Gopali, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2024	Misc	`conf`	The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. SAC Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2024	J	`jnl`	The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. CoRR Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2024	J	`jnl`	The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data. CoRR Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2024	J	`jnl`	The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data. Nat. Lang. Process. J. Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2023	B	`conf`	Detecting Phishing URLs using the BERT Transformer Model. IEEE Big Data Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2023	B	`conf`	Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. IEEE Big Data Sonali Singh, Faranak Abri, Akbar Siami Namin
2023	J	`jnl`	Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. CoRR Sonali Singh, Faranak Abri, Akbar Siami Namin
2023	B	`conf`	The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. IEEE Big Data Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri
2022	Misc	`conf`	A user-centric threat model and repository for cyber attacks. SAC Prerit Datta, Sara Sartoli, Luis Felipe Gutiérrez, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2022	B	`conf`	Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events. IEEE Big Data Pooja Krishan, Faranak Abri
2022	—	`—`	Content analysis and modeling interactions in social engineering attacks. Faranak Abri
2022	J	`jnl`	MalView: Interactive Visual Analytics for Comprehending Malware Behavior. IEEE Access Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang
2022	J	`jnl`	Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies. IEEE Access Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones
2022	B	`conf`	Using Transformers for Identification of Persuasion Principles in Phishing Emails. IEEE Big Data Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2021	J	`jnl`	A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. CoRR Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2021	—	`conf`	A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE BigData Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2021	B	`conf`	Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. COMPSAC Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
2021	J	`jnl`	Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. CoRR Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
2020	B	`conf`	Abuse of the Cloud as an Attack Platform. COMPSAC Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	J	`jnl`	Cloud as an Attack Platform. CoRR Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	B	`conf`	Cloud: A Platform to Launch Stealth Attacks. COMPSAC Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	—	`conf`	Email Embeddings for Phishing Detection. IEEE BigData Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
2020	B	`conf`	Ensemble Learning for Detecting Fake Reviews. COMPSAC Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Fake Reviews Detection through Analysis of Linguistic Features. CoRR Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Fake Reviews Detection through Ensemble Learning. CoRR Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Launching Stealth Attacks using Cloud. CoRR Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	C	`conf`	Linguistic Features for Detecting Fake Reviews. ICMLA Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Phishing Detection through Email Embeddings. CoRR Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
2020	—	`conf`	Predicting Emotions Perceived from Sounds. IEEE BigData Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
2020	J	`jnl`	Predicting Emotions Perceived from Sounds. CoRR Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
2019	—	`conf`	Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? IEEE BigData Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
2019	J	`jnl`	The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. CoRR Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin