Breaking graph-based IoT malware detection systems using adversarial examples: poster. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (WiSec, 2019)

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (CoRR, 2019)

You Can Run, But You Cannot Hide: Using Elevation Profiles to Breach Location Privacy through Trajectory Prediction. - Ülkü Meteriz; Necip Fazil Yildiran; Aziz Mohaisen (CoRR, 2019)

Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications. - Ülkü Meteriz; Necip Fazil Yildiran; Joongheon Kim; David Mohaisen (ICDCS, 2020)

Automated Privacy Policy Annotation with Information Highlighting Made Practical Using Deep Representations. - Abdulrahman Alabduljabbar; Ahmed Abusnaina; Ülkü Meteriz-Yildiran; David Mohaisen (CCS, 2021)

TLDR: Deep Learning-Based Automated Privacy Policy Annotation with Key Policy Highlights. - Abdulrahman Alabduljabbar; Ahmed Abusnaina; Ülkü Meteriz-Yildiran; David Mohaisen (WPES@CCS, 2021)

SIA: Smartwatch-Enabled Inference Attacks on Physical Keyboards Using Acoustic Signals. - Ülkü Meteriz-Yildiran; Necip Fazil Yildiran; David Mohaisen (WPES@CCS, 2021)

A Keylogging Inference Attack on Air-Tapping Keyboards in Virtual Environments. - Ülkü Meteriz-Yildiran; Necip Fazil Yildiran; Amro Awad; David Mohaisen (VR, 2022)

AiRType: An Air-tapping Keyboard for Augmented Reality Environments. - Necip Fazil Yildiran; Ülkü Meteriz-Yildiran; David Mohaisen (VR Workshops, 2022)

Learning Location From Shared Elevation Profiles in Fitness Apps: A Privacy Perspective. - Ülkü Meteriz-Yildiran; Necip Fazil Yildiran; Joongheon Kim; David Mohaisen (IEEE Trans. Mob. Comput., 2024)