I am a Ph.D. student at the University of Illinois Urbana-Champaign. I am advised by Ling Ren. My research focuses on cryptography, security, and user privacy. During my internships, I have worked with amazing cryptography teams at Apple, Intel, and Brave Research, where I designed and implemented various provably secure protocols for secure data compare and access.

Research

I develop privacy-preserving storage protocols that use cryptography to protect user privacy. I am particularly interested in designing systems that guarantee provable privacy and security without any leakage, are concretely efficient and easy to deploy, and have realistic assumptions. Most of my recent work is based on lattice-based homomorphic encryption.

Publications

• Simple and practical amortized sublinear private information retrieval
  Muhammad Haris Mughees, I Sun, Ling Ren

• Vectorized Batch Private Information Retrieval
  Muhammad Haris Mughees, Ling Ren
  IEEE Symposium on Security and Privacy (SSP) 2023,
  Code: [https://github.com/mhmughees/vectorized_batchpir]

• OnionPIR: response efficient single-server PIR
  Muhammad Haris Mughees, Hao Chen, Ling Ren
  Computer and Communications Security (CCS) 2021,
  Code: [https://github.com/mhmughees/Onion-PIR]

• PrivateFetch: Scalable Catalog Delivery in Privacy-Preserving Advertising
  Muhammad Haris Mughees, Gonçalo Pestana, Alex Davidson, Benjamin Livshits

• On Statistical Security in Two-Party Computation
  Dakshita Khurana, Muhammad Haris Mughees
  Theory of Cryptography Conference (TCC) 2020

• Burnbox: Self-Revocable Encryption in a World of Compelled Access
  Nirvan Tyagi, Muhammad Haris Mughees, Thomas Ristenpart, Ian Miers
  USENIX Security 2018,
  Code: [https://github.com/mhmughees/burnbox]

• Detecting Anti Ad-blockers in the Wild Muhammad Haris Mughees, Zhiyun Qian, and Zubair Shafiq Proceedings on Privacy Enhancing Technologies (PETS) 2017

Talks

• Private Information Retrieval using FHE at FHE.org
• Statistical Two-Party computation at TCC