Job Description
We are looking for a Ph.D. student who is interested in one of the following areas: Secure Multi-Party Computation (MPC): MPC enables multiple parties to jointly compute on their data without revealing private information. Our research develops highly efficient MPC protocols for real-world applications such as healthcare analytics, cyber risk management, and biometric authentication. Hardware-Accelerated Cryptography: We design cryptographic schemes optimized for hardware acceleration and explore co-design strategies between cryptography and hardware (e.g., GPU, FPGA). The goal is to achieve secure and privacy-preserving computation with high performance and scalability. Blockchain Security and Privacy: We build secure and privacy-preserving blockchain infrastructures. Our research addresses challenges including resource-constrained users, confidential yet verifiable data, and trustworthy decentralized services. Advisor information: https://yanxue820.github.io/
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