No Privacy for Privates: How Military Communities Experience and Perceive the Privacy Risks of Military-Marketed Mobile Apps

Purdue University

• Developed a contention-based timing side-channel for mobile NPUs
• Investigated the privacy risks of military-marketed mobile apps
• Produced Android userspace exploits for DARPA's Intelligent Generation of Tools for Security (INGOTS) program

Peraton Labs

• Implemented novel sensor fusion capabilities on Android phones by leveraging Bayesian inference networks

Peraton Labs

• Built an Android utility leveraging kernel tracing and IPC introspection to trace messages between apps, telephony, the Radio Interface Layer (RIL), and baseband firmware

Peraton Labs

• Trained a multitask deep learning recommender system to predict mobile app usage based on user demographics
• Worked as part of a team to repurpose mobile phone communication channels to enable secure communications

Peraton Labs

• Built a Python tool to schedule and generate Android automations that mimic human activity
• Worked as part of a team to repurpose mobile phone communication channels to enable secure communications

Lockheed Martin ATL

• Reverse engineered Windows applications
• Windows kernel debugging

Anchorage Digital

• Worked as part of a team to prototype a new feature critical to supporting DeFi apps on the Ethereum blockchain