Seung-Hyun Nam (남승현)

(Latest update: Jan. 20, 2025)

Current position
Postdoctoral Researcher (Sep. 2024-),
Information & Electronics Research Institute,
Korea Advanced Institute of Science and Technology (KAIST),
Advisors: Joonwoo Bae and Si-Hyeon Lee

Contact information
Email: shnam (at) kaist.ac.kr

Research interests

• Information theory (both classical and quantum)
• Statistical inference
• Privacy & security

Education

• Ph.D.
  • School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2020-2024.
  • Dissertation title: Research on the communication-efficient private distribution estimation.
  • Advisor: Si-Hyeon Lee
• M.S.
  • School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2018-2020.
  • Thesis title: Information-theoretic studies on the Gaussian wiretap channel with one-bit ADCs.
  • Advisor: Si-Hyeon Lee
• B.S.
  • Dept. of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 2012-2018.

Publications

• Journal articles
  1. S.-M. Yoon, H.-Y. Park, S.-H. Nam, and S.-H. Lee, "On privacy-utility trade-offs in discrete distribution estimation under utility-optimized local differential privacy," submitted.
  2. S.-H. Nam, H.-Y. Park, and S.-H. Lee, "Achieving the exactly optimal privacy-utility trade-off with low communication cost via shared randomness," IEEE Transactions on Information Theory, vol. 70, no. 10, pp. 7447-7462, 2024. (S.-H. Nam and H.-Y. Park equally contributed to this work)
  3. S.-H. Nam, V. Y. F. Tan, and S.-H. Lee, "Optimal private discrete distribution estimation with one-bit communication," IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6514-6528, 2024.
  4. H.-Y. Park, S.-H. Nam, and S.-H. Lee, "Exactly optimal and communication-efficient private estimation via block designs," IEEE Journal on Selected Areas in Information Theory, vol. 5, pp. 123-134, 2024.
  5. S.-H. Nam and S.-H. Lee, "A tighter converse for the locally differentially private discrete distribution estimation under the one-bit communication constraint," IEEE Signal Processing Letters, vol. 29, pp. 1923-1927, 2022.
  6. S.-H. Nam and S.-H. Lee, "Secrecy capacity of a Gaussian wiretap channel with ADCs is always positive," IEEE Transactions on Information Theory, vol. 68, pp. 1186-1196, 2022.


• Conference proceedings
1. S.-H. Nam, H.-Y. Park, Joonwoo Bae, and S.-H. Lee, "Quantum advantage in private multiple hypothesis testing," submitted (S.-H. Nam and H.-Y. Park equally contributed to this work, longer version available at arXiv:2501.10152).
2. H.-Y. Park, S.-H. Nam, and S.-H. Lee, "No advantage of non-local cooperation in distributed compression of classical sources," 2024 IEEE Information Theory Workshop (ITW), Shenzhen, China, Nov. 2024.
3. S.-H. Nam, V. Y. F. Tan, and S.-H. Lee, "Optimal private discrete distribution estimation with one-bit communication," 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, Jul. 2024, pp. 593-598.
4. S.-H. Nam, H.-Y. Park, and S.-H. Lee, "Achieving the exactly optimal privacy-utility trade-off with low communication cost via shared randomness," 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, Jul. 2024, pp. 3065-3070. (S.-H. Nam and H.-Y. Park equally contributed to this work)
5. H.-Y. Park, S.-H. Nam, and S.-H. Lee, "Block design-based local differential privacy mechanisms," 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, Jun. 2023, pp. 1645-1650.
6. S.-H. Nam and S.-H. Lee, "Secrecy capacity of a Gaussian wiretap channel with one-bit ADCs is always positive," 2019 IEEE Information Theory Workshop (ITW), Visby, Sweden, Aug. 2019, pp. 1-5.