Applying Deep Learning in Augmented Reality Tracking. - Omer Akgul; H. Ibrahim Penekli; Yakup Genc (SITIS, 2016)

A Qualitative Investigation of Insecure Code Propagation from Online Forums. - Wei Bai 004; Omer Akgul; Michelle L. Mazurek (SecDev, 2019)

Comparing Security and Privacy Attitudes Among U.S. Users of Different Smartphone and Smart-Speaker Platforms. - Desiree Abrokwa; Shruti Das; Omer Akgul; Michelle L. Mazurek (SOUPS @ USENIX Security Symposium, 2021)

Evaluating In-Workflow Messages for Improving Mental Models of End-to-End Encryption. - Omer Akgul; Wei Bai 004; Shruti Das; Michelle L. Mazurek (USENIX Security Symposium, 2021)

From Secure to Military-Grade: Exploring the Effect of App Descriptions on User Perceptions of Secure Messaging. - Omer Akgul; Ruba Abu-Salma; Wei Bai 004; Elissa M. Redmiles; Michelle L. Mazurek; Blase Ur (WPES@CCS, 2021)

Investigating Influencer VPN Ads on YouTube. - Omer Akgul; Richard Roberts; Moses Namara; Dave Levin; Michelle L. Mazurek (SP, 2022)

SoK: A Framework for Unifying At-Risk User Research. - Noel Warford; Tara Matthews; Kaitlyn Yang; Omer Akgul; Sunny Consolvo; Patrick Gage Kelley; Nathan Malkin; Michelle L. Mazurek; Manya Sleeper; Kurt Thomas (SP, 2022)

Is Cryptographic Deniability Sufficientƒ Non-Expert Perceptions of Deniability in Secure Messaging. - Nathan Reitinger; Nathan Malkin; Omer Akgul; Michelle L. Mazurek; Ian Miers (SP, 2023)

Bug Hunters' Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem. - Omer Akgul; Taha Eghtesad; Amit Elazari; Omprakash Gnawali; Jens Grossklags; Michelle L. Mazurek; Daniel Votipka; Aron Laszka (USENIX Security Symposium, 2023)

Characterizing and Improving Mental Models of Secure Communication Tools. - Omer Akgul (2023)

A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends. - Omer Akgul; Sai Teja Peddinti; Nina Taft; Michelle L. Mazurek; Hamza Harkous; Animesh Srivastava; Benoit Seguin (USENIX Security Symposium, 2024)

Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations. - Weiran Lin; Anna Gerchanovsky; Omer Akgul; Lujo Bauer; Matt Fredrikson; Zifan Wang 001 (CoRR, 2024)

LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses. - Weiran Lin; Anna Gerchanovsky; Omer Akgul; Lujo Bauer; Matt Fredrikson; Zifan Wang 001 (CHI, 2025)

Characterizing the Usability and Usefulness of U.S. Ad Transparency Systems. - Kevin Bryson 002; Arthur Borem; Phoebe Moh; Omer Akgul; Laura Edelson; Tobias Lauinger; Michelle L. Mazurek; Damon McCoy; Blase Ur (SP, 2025)

As Advertised? Understanding the Impact of Influencer VPN Ads. - Omer Akgul; Richard Roberts; Emma Shroyer; Dave Levin; Michelle L. Mazurek (USENIX Security Symposium, 2025)

Privacy Solution or Menace? Investigating Perceptions of Radio-Frequency Sensing. - Maximiliane Windl; Omer Akgul; Nathan Malkin; Lorrie Faith Cranor (USENIX Security Symposium, 2025)

Estimating LLM Consistency: A User Baseline vs Surrogate Metrics. - Xiaoyuan Wu; Weiran Lin; Omer Akgul; Lujo Bauer (CoRR, 2025)

When AIOps Become "AI Oops": Subverting LLM-driven IT Operations via Telemetry Manipulation. - Dario Pasquini; Evgenios M. Kornaropoulos; Giuseppe Ateniese; Omer Akgul; Athanasios Theocharis; Petros Efstathopoulos (CoRR, 2025)