Doguhan Yeke

Research Assistant

Currently, I am a Ph.D. student in the department of Computer Science at Purdue University , working on computer security and system security in PurSec Lab. I am fortunate to be advised by Prof. Z.Berkay Celik and Prof. Antonio Bianchi. Before joining Purdue, I received my M.S and B.S from Computer Engineering department at METU in 2020 and 2017, respectively.

After completing bachelor's degree, I worked at Comodo , evaluating the malware detection and classification. I also interned at SAP and eNTERFACE'15 when I was undergrad.

Research Interests
  • Android security and privacy [1]
  • Safety and security of multi robot navigation systems [in progress]
  • Automated network protocol reverse engineering [in progress]
  • Malware detection and classification
  • Practical deep learning applications in security

Updates
Mar 2024

Our research on Protecting Privacy in Wearable Devices is appeared at Purdue Today.

Jan 2024

I started serving at the Student Advisory Council of NSF ACTION GATE 2023.

Aug 2023

Our paper on runtime permission models on wearables is accepted to IEEE S&P 2024!

Jun 2023

I attended the CyberTruck Challenge!

Jan 2023

We won the Google ASPIRE award!

Dec 2022

We received a bug bounty!

Oct 2022

My colleagues and I gave a talk at Google remotely as part of the Google ASPIRE project.

Sep 2022

We presented a demo about our Sandia project.

Jul 2022

We submitted a Bug Report to Google!

May 2022

We started a project with Sandia Labs.

Aug 2021

I started my PhD at Purdue University.

Publications

  • Wear's my Data? Understanding the Cross-Device Runtime Permission Model in Wearables

    Doguhan Yeke, Muhammad Ibrahim, Guliz Seray Tuncay, Habiba Farrukh, Abdullah Imran, Antonio Bianchi, and Z. Berkay Celik

    IEEE Symposium on Security and Privacy (S&P), 2024

Talks
  • Wear OS project, Android Security and Privacy Research (ASPIRE), Google (remote), October 2022

Bugs discovered
  • Location Privacy, awarded $500 bug bounty

Services
  • External reviewer at ACM WiSec 2024

Teaching
  • TA, CS 307: Software Engineering (Fall 2023, Fall 2022)
  • TA, CS 251: Data Structures and Algorithms (Spring 2022, Fall 2021)