The Secure, Private Internet (SPIN) Research Group

We aim to make Internet communications truly secure and private. To this end, we study the security and privacy guarantees of existing network protocols, tools, and services, and propose ways to strengthen them—either through design improvements or by building clean-slate communication systems. Our research blends the development of practical systems with rigorous theoretical analysis, drawing on methods from computer networking, cryptography, and statistics. Over the years, we have explored a wide range of topics, including Internet censorship resistance, traffic analysis and defenses, trustworthy AI, and multimedia information hiding.

Faculty

Amir Houmansadr
Amir Houmansadr
Professor

PhD Students

Jade Sheffey
Traffic Obfuscation, Anti-censorship, Privacy
Ali Zohaib
Internet Censorship, Traffic Analysis
Ali Naseh
AI/ML Security and Privacy
Dzung Pham
AI/ML Security and Privacy
Yuefeng Peng
AI/ML Security and Privacy
Jaechul Roh
Trustworthy AI, Adversarial ML
Dayeon Kang
Traffic Analysis, Network Security
Co-advisor: Pubali Datta
Hyejun Jeong
AI/ML Security and Privacy
Co-advisor: Eugene Bagdasarian
Mohammadreza Teymoorianfard
Trustworthy AI and ML, Privacy
Arisa Tajima
Trustworthy AI and ML, Privacy

PhD Alumni

Alireza Bahramali
PhD (2024), Microsoft
Virat Shejwalkar
PhD (2023), Google
Hamid Mozaffari
PhD (2023), Oracle Labs
Milad Nasr
PhD (2022), Deepmind
Fatemeh Rezaei
PhD (2021), Snap

Active Research Topics

We always strive to explore emerging, impactful research problems in the area of security and privacy. The following are our active research topics:
  • Privacy-enhancing technologies
  • Trustworthy AI
  • Network traffic analysis
  • Privacy in next-generation networks
  • Covert communications
  • IoT and location privacy

Software/Code

Selected Media Coverage