Seoul National University · 情報科学
Professor Jung Hee Cheon's research lab specializes in cryptography and privacy-preserving computation, with a strong focus on homomorphic encryption, post-quantum cryptography, and secure systems for real-time and safety-critical applications. The lab develops advanced cryptographic primitives such as hybrid homomorphic encryption, identity-based and timed-release encryption, and efficient solutions for secure machine learning on encrypted data. Their work bridges theoretical foundations with practical deployment, particularly in securing networked vehicles, biomedical data, and financial systems.
Figures are computed from collected data and may differ slightly.
Controlling or accessing remotely has become a prevalent form of operating numerous types of platforms and infrastructure. An exploding number of vehicles such as drones or cars, in particular, are being controlled wirelessly or connected through networks. This has brought unanimous concern that today's networked vehicle systems are vulnerable to attacks and the results could be fatal. Unfortunately, in contrast to active investigation on the security of the vehicles themselves, sensors, or comm
Let $\mathbf{f}$ and $\mathbf{g}$ be polynomials of a bounded Euclidean norm in the ring $\mathbb{Z}[X]/\langle X^{n}+1\rangle$ . Given the polynomial $[\mathbf{f}/\mathbf{g}]_{q}\in \mathbb{Z}_{q}[X]/\langle X^{n}+1\rangle$ , the NTRU problem is to find $\mathbf{a},\mathbf{b}\in \mathbb{Z}[X]/\langle X^{n}+1\rangle$ with a small Euclidean norm such that $[\mathbf{a}/\mathbf{b}]_{q}=[\mathbf{f}/\mathbf{g}]_{q}$ . We propose an algorithm to solve the NTRU problem, which runs in $2^{O(\log ^{2}\un
We introduce a hybrid homomorphic encryption that combines public-key encryption (PKE) and somewhat homomorphic encryption (SHE) to reduce the storage requirements of most somewhat or fully homomorphic encryption (FHE) applications. In this model, messages are encrypted with a PKE and computations on encrypted data are carried out using SHE or FHE after homomorphic decryption. To obtain efficient homomorphic decryption, our hybrid scheme combines IND-CPA PKE without complicated message padding w
Open papers in the app to read, cite, and organize with AI.
