Our research interests span across network, mobile, software, hardware, and human, emphasizing security and privacy issues of the targets. Details will be posted when they become publicly available.
- Voice Assistant Security
- AI Security
- Autonomous Vehicle Security
- Offensive Security
- RouteDetector — A novel PoC side-channel attack for mobile devices
- Tap ‘N Ghost
- Analysis of RF retroreflector
- Social Accounts De-anonymization
- De-anonymizing online purchase history
- Mobile Security
- IoT
- Trojan of Things
- RF retroreflectors
- AI Speakers
- Robot Security
- Human-factors in security / Usable Security
- Privacy
- Understanding web tracking in the wild
- Android app privacy
- Auction privacy
- Network Security
- ShamFinder — A framework that detects homograph IDN.
- AutoBLG — Automated blacklist generation framework.
- SFMap — Inferring hostnames of encrypted HTTP traffic
- Detecting malicious traffic
- Darknet analysis — Extracting useful information from darknet traffic
- CLAP — Classification of potentially unwanted applicatons (PUA)
- Software Security
- Malware analytics — Applying machine learning techniques to analyzing malware samples
- Scalable vulnerability detection