Privacy Models in Wireless Sensor Networks: A Survey. - José María de Fuentes; Lorena González-Manzano; Omid Mirzaei (J. Sensors, 2016)

TriFlow: Triaging Android Applications using Speculative Information Flows. - Omid Mirzaei; Guillermo Suarez-Tangil; Juan E. Tapiador; José María de Fuentes (AsiaCCS, 2017)

AndrEnsemble: Leveraging API Ensembles to Characterize Android Malware Families. - Omid Mirzaei; Guillermo Suarez-Tangil; José María de Fuentes; Juan Tapiador; Gianluca Stringhini (AsiaCCS, 2019)

AndrODet: An adaptive Android obfuscation detector. - Omid Mirzaei; José María de Fuentes; Juan E. Tapiador; Lorena González-Manzano (Future Gener. Comput. Syst., 2019)

SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning. - Omid Mirzaei; Roman Vasilenko; Engin Kirda; Long Lu; Amin Kharraz (DIMVA, 2021)

Preventing server-side request forgery attacks. - Bahruz Jabiyev; Omid Mirzaei; Amin Kharraz; Engin Kirda (SAC, 2021)

A powerful probabilistic model for noise analysis in medical images. - Mustafa Gürman; Bülent Bilgehan; Özlem Sabuncu; Omid Mirzaei (Int. J. Imaging Syst. Technol., 2023)

Poster: Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection. - Sachin Shukla; Omid Mirzaei (CCS, 2024)

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection. - Sachin Shukla; Omid Mirzaei (CoRR, 2024)

Diagnosis of sacroiliitis using MR images with a simplified custom deep learning model. - Selin Uzelaltinbulat; Yasemin Kucukciloglu; Ahmet Ilhan; Omid Mirzaei; Boran Sekeroglu (J. Supercomput., 2025)