Untitled

Hello! I am a researcher at DeepingSource specializing in privacy-preserving algorithms for AI. My focus is on developing innovative solutions that protect sensitive data while enabling their effective and ethical use, in addition to identifying novel privacy risks in AI applications.

Projects

Contact

Education

<aside> πŸ₯š Korea University B.S. in Computer Science and Engineering March 2017 - August 2021

</aside>

<aside> πŸ₯ Korea Advanced Institute of Science and Technology (KAIST) M.S. student in Graduate School of Information Security September 2021 - February 2023

</aside>

Publication

  1. Targeted Model Inversion: Distilling style encoded in predictions Hoyong Jeong, Kiwon Chung, Sung Ju Hwang, Sooel Son Computers & Security, 2024 [paper]

  2. Learning to Generate Inversion-Resistant Model Explanations Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son *The 36th Conference on Neural Information Processing Systems (NeurIPS), 2022 *****[paper], [artifact]

  3. Exploiting Metaobjects to Reinforce Data Leakage Attacks Hoyong Jeong, Hodong Kim, Junbeom Hur The 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2022 [paper]

  4. 이미지 인식 기반의 톡합적 FPS κ²Œμž„ μ•ˆν‹°μΉ˜νŠΈ μ†”λ£¨μ…˜ μ •ν˜Έμš©, μ΄μ˜ˆμ€, 이찬우, μ •μ§€μš©, κΉ€λ„ν›ˆ, μ΄κ²½ν•˜, μ‹¬μ˜μ§„, μ „μƒν˜„ μ •λ³΄λ³΄ν˜Έν•™νšŒ λ™κ³„ν•™μˆ λŒ€νšŒ (CISC-W), 2021 [paper] **

  5. Neural Network Stealing via Meltdown Hoyong Jeong, Dohyun Ryu, Junbeom Hur The 35th International Conference on Information Networking (ICOIN), 2020 [paper]

Research Experience

**Web Security & Privacy Laboratory, KAIST** (advisor: Prof. Sooel Son) Master’s Student (2021.09 - 2023.02)