Recent Ph.D. graduate in computer science with a focus on zero-knowledge proofs and secure multiparty computation. Expertise in applying advanced cryptographic techniques to enhance security in cloud computing and machine learning environments. Proven ability to conduct innovative research and contribute to cutting-edge technology solutions.
Collaborative PLONK
Re-designed and implemented a new PLONK protocol using secure multiparty computation (MPC) and packed-secret sharing (PSS).
Achieved a 36× reduction in the prover’s computational bottleneck compared to the single-prover setting.
RESCU Cloud
Implemented a generic interactive-proof-based SNARK with MPC.
Ensured privacy and integrity in the all-but-one-honest-party setting.
Applied the model to CNN classifier.
Private Polynomial Commitment
Designed and implemented a new polynomial commitment (PC) scheme in which evaluation points are hidden from verifiers, and polynomials are hidden from both provers and verifiers.
Applied our PC scheme to a private set intersection problem, improving its scalability. We are able to scale up to 1,000 parties.