activity
20232026
most citedExactly Minimax-Optimal Locally Differentially Private Sampling

1 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IT2026

Optimal Regret Exponents for Bayesian Statistical Decision Problems

Hyun-Young Park, Si-Hyeon Lee

We study finite-state finite-action Bayesian statistical decision problems. While exact error-exponent characterizations are known for several special cases, including hypothesis t…

cs.CR2026

Optimal Privacy-Utility Trade-Offs in LDP: Functional and Geometric Perspectives

Seung-Hyun Nam, Hyun-Young Park, Si-Hyeon Lee

Local differential privacy (LDP) has emerged as a gold-standard framework for privacy-preserving data analysis. However, characterizing the optimal privacy-utility trade-off (PUT)…

cs.CV2026

Training-Free Coverless Multi-Image Steganography with Access Control

Minyeol Bae, Si-Hyeon Lee

Coverless Image Steganography (CIS) hides information without explicitly modifying a cover image, providing strong imperceptibility and inherent robustness to steganalysis. However…

cs.IT2026

Secure Communications, Sensing, and Computing Towards Next-Generation Networks

Ruiqi Liu, Beixiong Zheng, Jemin Lee +4

Next-generation wireless networks are progressing beyond conventional connectivity to incorporate emerging sensing and computing capabilities. This convergence gives rise to integr…

cs.CR2025

Fundamental Limit of Discrete Distribution Estimation under Utility-Optimized Local Differential Privacy

Sun-Moon Yoon, Hyun-Young Park, Seung-Hyun Nam +1

We study the problem of discrete distribution estimation under utility-optimized local differential privacy (ULDP), which enforces local differential privacy (LDP) on sensitive dat…

quant-ph2025

Enhancing Sum Capacity via Quantum and No-Signaling Cooperation Between Transmitters

Seung-Hyun Nam, Hyun-Young Park, Jiyoung Yun +3

We consider communication over discrete memoryless interference channels or multiple access channels without feedback, where transmitters exploit classical, quantum, or no-signalin…

quant-ph2025

Quantum Advantage in Locally Differentially Private Hypothesis Testing

Seung-Hyun Nam, Hyun-Young Park, Si-Hyeon Lee +1

We consider a private hypothesis testing scenario, including both symmetric and asymmetric testing, based on classical data samples. The utility is measured by the error exponents,…

cs.LG2024★ 1 cited

Exactly Minimax-Optimal Locally Differentially Private Sampling

Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee

The sampling problem under local differential privacy has recently been studied with potential applications to generative models, but a fundamental analysis of its privacy-utility…

cs.IT2023

Optimal Private Discrete Distribution Estimation with One-bit Communication

Seung-Hyun Nam, Vincent Y. F. Tan, Si-Hyeon Lee

We consider a private discrete distribution estimation problem with one-bit communication constraint. The privacy constraints are imposed with respect to the local differential pri…

quant-ph2023★ 1 cited

Nonlocal and quantum advantages in network coding for multiple access channels

Jiyoung Yun, Seung-Hyun Nam, Hyun-Young Park +3

In this work, we consider two-sender, one-receiver communication over a discrete memoryless multiple-access channel without feedback, where two senders may cooperate on channel cod…