Radhika Garg
Ph.D. Candidate, Computer Science, Northwestern University
I am a Ph.D. candidate in Computer Science at Northwestern University, advised by Dr. Xiao Wang. I work on applied cryptography, with a focus on making secure computation practical and deployable. I am interested in both the protocols and the tooling around them. I am joining Silence Laboratories as an Applied Research Scientist in December 2026.
On the protocol side, I work on threshold cryptography and multi-party computation. I designed a threshold signing scheme compatible with unmodified NIST FALCON verification. I have also worked on scalable generic MPC and on secure noise sampling for differentially private federated learning.
On the systems side, I build tools that make MPC usable by non-experts. Smaug is an LLVM-based compiler that runs standard C++ and Rust programs under MPC without a domain-specific language. I am also interested in automated testing and formal verification of interactive protocol implementations and cryptography libraries.
I have interned at Silence Laboratories, working on threshold cryptography and MPC compilers, and at Meta FAIR with Dr. Kristin Lauter, working on machine learning for cryptanalysis.
I received my B.Tech. in Computer Science from the Indian Institute of Technology Roorkee in 2022. Outside of research I love to paint and sketch.
Publications
- Noisette: Certifying Differential Privacy Mechanisms EfficientlyIn IEEE Symposium on Security & Privacy (S&P), 2027