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]
- Practical deep learning applications in security
- LLM security and safety
- Malware detection and classification
Updates |
Thrilled to be named as a Windracers Fellow.
We presented a poster on the use case concepts of PUP at the AIrTonomy Workshop.
Our research on Protecting Privacy in Wearable Devices is appeared at Purdue Today.
I started serving at NSF ACTION GATE 2023.
Our paper on runtime permission models on wearables is accepted to IEEE S&P 2024!
I attended the CyberTruck Challenge!
We won the Google ASPIRE award!
We received a bug bounty!
My colleagues and I gave a talk at Google remotely as part of the Google ASPIRE project.
We presented a demo about our Sandia project.
We submitted a Bug Report to Google!
We started a project with Sandia Labs.
I started my PhD at Purdue University.
Publications
|
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)